# Cube Documentation

## Docs

- [AI Tokens](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/account-billing/ai-tokens.md): Understand how AI token usage works in Cube, including per-seat grants, token packages, and usage tracking.
- [API keys](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/account-billing/api-keys.md): Admins can manage API keys through Admin → API Keys.
- [Billing FAQ](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/account-billing/billing-faq.md): Frequently asked questions about Cube billing, pricing, payments, and invoices.
- [Budgets](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/account-billing/budgets.md): Learn how usage thresholds trigger budget notifications and where to manage them in Cube Cloud billing.
- [Distribution](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/account-billing/distribution.md): Compares Cube Core versus Cube Cloud packaging, release artifacts, versioning, and long-term support policy.
- [Pricing in Cube Cloud](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/account-billing/pricing.md): Explains Cube Consumption Units, product tiers, and how Cube Cloud bills for infrastructure and features.
- [Support in Cube Cloud](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/account-billing/support.md): Summarizes support channels, coverage hours, and ticket allowances across Cube Cloud product tiers.
- [Bring Your Own Model](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/ai/bring-your-own-model.md): Configure custom LLM providers for AI agents in Cube, including supported providers, setup, and billing implications.
- [Certified queries](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/ai/certified-queries.md): Provide a library of trusted SQL queries that the agent uses as reference examples when answering user requests.
- [Overview](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/ai/index.md): Configure the agent that ships with every Cube deployment — accessible views, LLM, runtime, and memory.
- [Memories](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/ai/memory-isolation.md): How the agent stores, retrieves, and isolates memories across tenants, spaces, and users.
- [Multi-agent](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/ai/multi-agent.md): Configure multiple agents within a single deployment, each with its own model, accessible views, rules, and certified queries.
- [Rules](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/ai/rules.md): Define instructions in your data model repository that guide the agent's behavior.
- [Querying concurrency](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/connect-to-data/concurrency.md): All queries to data APIs are processed asynchronously via a query queue. It allows to optimize the load and increase querying performance.
- [Amazon Athena](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/connect-to-data/data-sources/aws-athena.md): Give Cube IAM access to Athena, an S3 query-results path, region and catalog settings, plus optional assumed-role credentials.
- [AWS Redshift](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/connect-to-data/data-sources/aws-redshift.md): Authenticate Cube to Amazon Redshift with database passwords or IAM roles and ensure network reachability from your deployment.
- [ClickHouse](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/connect-to-data/data-sources/clickhouse.md): Connect Cube to ClickHouse for low-latency analytics, including host credentials and driver-specific connection options.
- [Databricks](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/connect-to-data/data-sources/databricks-jdbc.md): Databricks is a unified data intelligence platform.
- [Druid](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/connect-to-data/data-sources/druid.md): The driver for Druid is community-supported and is not maintained by Cube or the database vendor.
- [DuckDB](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/connect-to-data/data-sources/duckdb.md): Set up Cube with DuckDB for cloud object storage, local database files, or MotherDuck-backed hybrid query execution.
- [Elasticsearch](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/connect-to-data/data-sources/elasticsearch.md): The driver for Elasticsearch is community-supported and is not maintained by Cube or the database vendor.
- [Firebolt](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/connect-to-data/data-sources/firebolt.md): The driver for Firebolt is supported by its vendor. Please report any issues to their Help Center.
- [Google BigQuery](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/connect-to-data/data-sources/google-bigquery.md): Grant a Google Cloud service account the right BigQuery IAM roles, then point Cube at your project, region, and key material.
- [Hive / SparkSQL](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/connect-to-data/data-sources/hive.md): The driver for Hive / SparkSQL is community-supported and is not maintained by Cube or the database vendor.
- [Data Sources](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/connect-to-data/data-sources/index.md): Choose and configure a data warehouse, query engine, or other data source to connect to Cube.
- [ksqlDB](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/connect-to-data/data-sources/ksqldb.md): ksqlDB is a purpose-built database for stream processing applications, ingesting data from Apache Kafka.
- [Materialize](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/connect-to-data/data-sources/materialize.md): The driver for Materialize is supported by its vendor. Please report any issues to their Slack.
- [MongoDB](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/connect-to-data/data-sources/mongodb.md): Query MongoDB from Cube through the BI Connector’s SQL interface, including community-driver and Atlas deprecation caveats.
- [Microsoft Fabric](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/connect-to-data/data-sources/ms-fabric.md): Microsoft Fabric is an all-in-one analytics solution for enterprises. It offers a comprehensive suite of services, including a data warehouse.
- [Microsoft SQL Server](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/connect-to-data/data-sources/ms-sql.md): Connect Cube to SQL Server with database host credentials, optional domain-scoped login, and SSL or pool tuning as needed.
- [MySQL](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/connect-to-data/data-sources/mysql.md): Configure Cube’s MySQL client with TCP or Unix socket access, SSL, pooling limits, and optional timezone handling flags.
- [Oracle](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/connect-to-data/data-sources/oracle.md): The driver for Oracle is community-supported and is not maintained by Cube or the database vendor.
- [Apache Pinot](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/connect-to-data/data-sources/pinot.md): Broker-level connection details and required Pinot SQL features for wiring Cube to an Apache Pinot cluster via environment variables.
- [Postgres](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/connect-to-data/data-sources/postgres.md): Supply PostgreSQL host, database name, credentials, and optional SSL or pool settings to connect Cube as a client.
- [Presto](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/connect-to-data/data-sources/presto.md): Connect Cube to PrestoDB using hostname authentication together with catalog and schema selectors for your query engine layout.
- [QuestDB](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/connect-to-data/data-sources/questdb.md): QuestDB is a high-performance time-series database which helps you overcome ingestion bottlenecks.
- [RisingWave](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/connect-to-data/data-sources/risingwave.md): Point Cube at RisingWave using the Postgres-compatible driver and your cluster host, database, and credential settings.
- [SingleStore](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/connect-to-data/data-sources/singlestore.md): SingleStore is a distributed SQL database that offers high-throughput transactions (inserts and upserts) and low-latency analytics.
- [Snowflake](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/connect-to-data/data-sources/snowflake.md): Snowflake is a popular cloud-based data platform.
- [SQLite](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/connect-to-data/data-sources/sqlite.md): The driver for SQLite is community-supported and is not maintained by Cube or the database vendor.
- [Trino](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/connect-to-data/data-sources/trino.md): Map Cube to Trino with host credentials plus catalog, schema, SSL, and optional bearer-token variables on the shared Presto driver.
- [Vertica](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/connect-to-data/data-sources/vertica.md): OpenText Analytics Database (Vertica) is a columnar database designed for big data analytics.
- [Connect to data](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/connect-to-data/index.md): Connect your data warehouse or database to Cube and configure connection settings.
- [Connecting to multiple data sources](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/connect-to-data/multiple-data-sources.md): Cube supports connecting to multiple data sources, so that different cubes reference data from different databases.
- [Appsmith](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/connect-to-data/visualization-tools/appsmith.md): Appsmith is an open-source framework for building internal tools.
- [Bubble](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/connect-to-data/visualization-tools/bubble.md): Bubble is one of the oldest and most comprehensive low-code app-building platforms on the market.
- [Budibase](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/connect-to-data/visualization-tools/budibase.md): Budibase is a low-code app-building platform that helps developers create responsive web applications with access methods to databases, APIs, and much more.
- [Deepnote](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/connect-to-data/visualization-tools/deepnote.md): Deepnote is a data notebook that is built for collaboration and is Jupyter compatible.
- [Microsoft Excel](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/connect-to-data/visualization-tools/excel.md): Microsoft Excel is a popular spreadsheet application.
- [Google Sheets](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/connect-to-data/visualization-tools/google-sheets.md): Google Sheets is an online, collaborative spreadsheets application.
- [Hashboard](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/connect-to-data/visualization-tools/hashboard.md): Hashboard is an interactive data exploration tool.
- [Hex](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/connect-to-data/visualization-tools/hex.md): Hex is a collaborative, AI-powered workspace.
- [Hightouch](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/connect-to-data/visualization-tools/hightouch.md): Hightouch is a composable customer data platform (CDP).
- [Connecting to Visualization Tools](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/connect-to-data/visualization-tools/index.md): Find connection guides for BI and visualization tools that integrate with Cube.
- [Jupyter](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/connect-to-data/visualization-tools/jupyter.md): Jupyter Notebook is a web application for creating and sharing computational documents.
- [Klipfolio PowerMetrics](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/connect-to-data/visualization-tools/klipfolio.md): Klipfolio PowerMetrics is a complementary analytics solution that gives business users self-serve data access.
- [LangChain](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/connect-to-data/visualization-tools/langchain.md): LangChain is a framework designed to simplify the creation of applications using large language models.
- [Looker Studio](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/connect-to-data/visualization-tools/looker-studio.md): Looker Studio is a business intelligence and data visualization tool from Google.
- [Metabase](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/connect-to-data/visualization-tools/metabase.md): Let Metabase query Cube through the SQL API by treating the semantic layer like a Postgres database in Cloud or Core.
- [Observable](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/connect-to-data/visualization-tools/observable.md): Observable is a collaborative data notebook.
- [Microsoft Power BI](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/connect-to-data/visualization-tools/powerbi.md): Microsoft Power BI is a popular business intelligence tool.
- [Push.ai](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/connect-to-data/visualization-tools/push-ai.md): Push.ai is a business observability tool that helps teams share metrics and other data insights in messaging tools, like Slack.
- [Qlik Sense](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/connect-to-data/visualization-tools/qlik-sense.md): Qlik Sense is a data visualization and business intelligence tool.
- [Amazon QuickSight](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/connect-to-data/visualization-tools/quicksight.md): Amazon QuickSight is a cloud-based business intelligence service provided by Amazon Web Services.
- [Retool](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/connect-to-data/visualization-tools/retool.md): Retool is the fast way to build internal tools. It lets you visually design apps that interface with any database or API.
- [RudderStack](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/connect-to-data/visualization-tools/rudderstack.md): RudderStack is a warehouse-native customer data platform (CDP).
- [Sigma](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/connect-to-data/visualization-tools/sigma.md): Sigma is a business intelligence and analytics platform with a spreadsheet-like interface.
- [Steep](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/connect-to-data/visualization-tools/steep.md): Pair Steep with Cube using Cloud integration steps or Core’s REST (JSON) API endpoint and API secret inside Steep’s data source form.
- [Streamlit](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/connect-to-data/visualization-tools/streamlit.md): Streamlit turns data scripts into shareable web apps in minutes.
- [Apache Superset / Preset](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/connect-to-data/visualization-tools/superset.md): Apache Superset is a popular open-source data exploration and visualization platform. Preset is a fully-managed service for Superset.
- [Tableau](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/connect-to-data/visualization-tools/tableau.md): Tableau is a popular visual analytics platform.
- [ThoughtSpot](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/connect-to-data/visualization-tools/thoughtspot.md): ThoughtSpot is an analytics platform that allows users to search and analyze data using a search interface.
- [Databricks Unity Catalog](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/connect-to-data/visualization-tools/unity-catalog.md): Unity Catalog is a governance solution built into the Databricks Data Intelligence Platform.
- [Auto-suspension](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/deployment/auto-suspension.md): Available on Starter and above plans.
- [Deploying Cube Cloud BYOC on AWS](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/deployment/byoc/aws/deployment.md): Prerequisites, IAM access, and provisioning steps for Cube Cloud BYOC on AWS with the Cube Cloud Operator.
- [Bring Your Own Cloud on AWS](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/deployment/byoc/aws/index.md): Deploy Cube Cloud components on your own AWS infrastructure using the BYOC model with PrivateLink support.
- [Private Connectivity with AWS PrivateLink](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/deployment/byoc/aws/privatelink.md): Private HTTP and SQL API access for AWS BYOC via VPC PrivateLink services instead of public internet endpoints.
- [Deploying Cube Cloud BYOC on Azure](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/deployment/byoc/azure.md): Azure BYOC architecture, provisioner app access, and AKS-based onboarding for customer-hosted Cube infrastructure.
- [Deploying Cube Cloud BYOC on GCP](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/deployment/byoc/gcp/deployment.md): Project setup, permissions, and provisioning flow for Cube Cloud BYOC inside a dedicated GCP project.
- [Bring Your Own Cloud (BYOC)](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/deployment/byoc/index.md): Deploy Cube Cloud data-plane components on your own AWS, Azure, or GCP infrastructure for full data residency control.
- [Continuous deployment](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/deployment/continuous-deployment.md): This guide covers features and tools you can use to deploy your Cube project to Cube Cloud.
- [Deploying Cube Core with Docker](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/deployment/core.md): This guide walks you through deploying Cube with Docker.
- [Custom domains](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/deployment/custom-domains.md): Maps your own DNS hostname to Cube Cloud deployment APIs using the custom domain flow and required CNAME records.
- [Deployment types](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/deployment/deployment-types.md): Cube provides three deployment types: Shared, Dedicated, and Multi-cluster.
- [Encryption keys](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/deployment/encryption-keys.md): The Encryption Keys page in Cube Cloud allows to manage data-at-rest encryption in Cube Store.
- [Environments](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/deployment/environments.md): Outlines production, staging, and per-developer environments and how they differ inside one Cube Cloud deployment.
- [Overview](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/deployment/index.md): Introduces Cube deployments and how to browse, create, and operate the environments that run your semantic layer.
- [Infrastructure Options](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/deployment/infrastructure.md): Cube Cloud provides four infrastructure options to host your Cube deployments:
- [Limits and quotas](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/deployment/limits.md): Cube Cloud implements limits on resource usage on account and deployment levels to ensure the best experience for all Cube Cloud users.
- [Integrating with services on AWS](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/deployment/providers/aws.md): Reference list of AWS data sources, BI tools, and storage patterns commonly used alongside Cube Cloud.
- [Integrating with services on Azure](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/deployment/providers/azure.md): Reference list of Azure databases, Microsoft analytics clients, and blob storage options integrated with Cube Cloud.
- [Integrating with services on GCP](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/deployment/providers/gcp.md): Reference list of GCP data warehouses, managed SQL, Dataproc engines, and GCS workflows paired with Cube Cloud.
- [Cloud Providers](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/deployment/providers/index.md): Learn about AWS, GCP, and Azure support in Cube Cloud, including available regions and dedicated infrastructure.
- [Scalability](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/deployment/scalability.md): Tune Cube Cloud throughput and pre-aggregation capacity by scaling API instances and Cube Store workers.
- [AWS VPC Connectivity](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/deployment/vpc/aws/index.md): Establish a private network connection between Cube Cloud and your AWS VPC using PrivateLink or VPC peering.
- [Connecting to your VPC using AWS PrivateLink](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/deployment/vpc/aws/private-link.md): How to expose an AWS endpoint service and coordinate PrivateLink so Cube dedicated infrastructure reaches your VPC privately.
- [Setting up a VPC Peering connection on AWS](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/deployment/vpc/aws/vpc-peering.md): End-to-end checklist for VPC peering Cube Cloud dedicated infrastructure with your AWS VPC for private data access.
- [Azure VNet Connectivity](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/deployment/vpc/azure/index.md): Establish a private network connection between Cube Cloud and your Azure VNet using Private Link or VNet peering.
- [Connecting to your VNet using Azure Private Link](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/deployment/vpc/azure/private-link.md): Configure Azure Private Link visibility and approvals so Cube dedicated infrastructure connects to services in your VNet.
- [Connecting with a VNet on Azure](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/deployment/vpc/azure/vpc-peering.md): For cross-tenant peering in Azure, you are supposed to assign the peering role to the service principal of the peering party.
- [Connecting with a VPC on GCP](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/deployment/vpc/gcp.md): Work with your Cube sales or customer success team to initiate this process.
- [Dedicated Infrastructure (VPC)](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/deployment/vpc/index.md): Connect Cube Cloud to your private cloud network on AWS, GCP, or Azure for secure access to internal data sources.
- [Deployment warm-up](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/deployment/warm-up.md): Covers optional pre-launch warm-up for data model compilation and pre-aggregations on Dedicated deployments.
- [Administration](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/index.md): TODO
- [Audit Log](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/monitoring/audit-log.md): Learn how to turn on Audit Log in Cube Cloud, review security events across deployments, and download them for compliance reviews.
- [Chats History](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/monitoring/chats-history.md): Admins can access users chat history through Admin → Chats History.
- [Integration with Amazon CloudWatch](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/monitoring/monitoring-integrations/cloudwatch.md): Export Cube Cloud deployment logs to Amazon CloudWatch using Vector and an aws_cloudwatch_logs sink configuration.
- [Integration with Datadog](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/monitoring/monitoring-integrations/datadog.md): Datadog is a popular fully managed observability service. This guide demonstrates how to set up Cube Cloud to export logs and metrics to Datadog.
- [Integration with Grafana Cloud](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/monitoring/monitoring-integrations/grafana-cloud.md): Grafana Cloud is a popular fully managed observability service. This guide demonstrates how to set up Cube Cloud to export logs to Grafana Cloud.
- [Strategy, credentials, etc.](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/monitoring/monitoring-integrations/index.md): Export Cube Cloud logs and metrics to external monitoring tools like Datadog, Grafana Cloud, and New Relic.
- [Integration with New Relic](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/monitoring/monitoring-integrations/new-relic.md): Forward Cube Cloud logs and metrics to New Relic with Vector sinks targeting the logs and metrics APIs.
- [Integration with Amazon S3](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/monitoring/monitoring-integrations/s3.md): Amazon S3 is a popular object storage system. This guide demonstrates how to set up Cube Cloud to export logs to Amazon S3.
- [Performance Insights](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/monitoring/performance.md): Use Performance Insights charts in Cube Cloud to interpret API load, queues, and resource behavior when tuning a deployment.
- [Pre-Aggregations](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/monitoring/pre-aggregations.md): Monitor pre-aggregation builds, partitions, and refresh history from the Cube Cloud Pre-Aggregations console.
- [Query History](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/monitoring/query-history.md): The Query History feature in Cube Cloud is a one-stop shop for all performance and diagnostic information about queries issued for a deployment.
- [Analyzing data from Query History export](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/monitoring/query-history-export.md): Walk through exporting Query History to Amazon S3 with Vector and analyzing the files with DuckDB inside Cube.
- [Google Workspace](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/sso/google-workspace.md): Walks Google Workspace super admins through SAML single sign-on between Google Admin and Cube Cloud.
- [Overview](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/sso/index.md): Configure how your team accesses Cube Cloud using passwords, social logins, or SAML-based single sign-on.
- [Microsoft Entra ID SSO](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/sso/microsoft-entra-id/index.md): Set up single sign-on for Cube Cloud using Microsoft Entra ID with SAML authentication and SCIM provisioning.
- [SAML authentication with Microsoft Entra ID](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/sso/microsoft-entra-id/saml.md): Step-by-step guide for configuring Microsoft Entra ID as a SAML identity provider for Cube sign-in.
- [SCIM provisioning with Microsoft Entra ID](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/sso/microsoft-entra-id/scim.md): Automates user and group lifecycle in Cube by connecting SCIM provisioning to Microsoft Entra ID.
- [SAML authentication with Okta](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/sso/okta/saml.md): Connects Okta to Cube Cloud with SAML so members authenticate through your existing Okta application.
- [SCIM provisioning with Okta](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/sso/okta/scim.md): With SCIM (System for Cross-domain Identity Management) enabled, you can automate user provisioning in Cube Cloud and keep user groups synchronized with Okta.
- [Custom roles](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/users-and-permissions/custom-roles.md): Custom roles are available on the Enterprise plan.
- [Manage users](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/users-and-permissions/manage-users.md): Add users to your Cube Cloud account, assign roles, and control their access.
- [Roles & Permissions](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/users-and-permissions/roles-and-permissions.md): _Understanding user roles and permissions in Cube._
- [User Attributes](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/users-and-permissions/user-attributes.md): _Secure data access with user attributes for filtering based on individual permissions._
- [User groups](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/admin/users-and-permissions/user-groups.md): Organize Cube Cloud users into groups and tie those groups to data access policies instead of managing every account in isolation.
- [Data Sources](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/configuration/data-sources.md): Connect Cube to your preferred data warehouse or database.
- [Configuration Overview](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/configuration/overview.md): Learn how to configure Cube for your data sources and use cases.
- [Architecture](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/cube-core/architecture.md): Learn about Cube Core's production deployment architecture, including API instances, refresh workers, and Cube Store.
- [Deploying Cube Core with Docker](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/cube-core/deployment.md): This guide walks you through deploying Cube with Docker.
- [Add a pre-aggregation](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/cube-core/getting-started/add-a-pre-aggregation.md): Hands-on walkthrough of accepting a Playground pre-aggregation suggestion, updating the data model, and rerunning an accelerated query.
- [Create a project](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/cube-core/getting-started/create-a-project.md): In this step, we will create a Cube Core project on your computer, connect a data source, and generate data models.
- [Getting Started with Cube Core](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/cube-core/getting-started/index.md): Create a project, connect a database, query data, and add a pre-aggregation in self-hosted Cube Core.
- [Learn more](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/cube-core/getting-started/learn-more.md): Now that you've set up your first project, learn more about what else Cube can do for you.
- [Query data](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/cube-core/getting-started/query-data.md): Surveys ways to explore and consume modeled data—Playground, APIs, client SDKs, and BI or app integrations—after cubes are defined.
- [Cube Core](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/cube-core/index.md): Cube Core is the open-source semantic layer you can self-host with Docker.
- [Import a Bitbucket repository](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/cube-core/migrate-from-core/import-bitbucket-repository-via-ssh.md): Cube Cloud onboarding that imports an existing Cube project from Bitbucket over SSH and links it to your database.
- [Import a Git repository](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/cube-core/migrate-from-core/import-git-repository-via-ssh.md): This guide walks you through setting up Cube Cloud, importing a generic Git repository with an existing Cube project via SSH, and connecting to your database.
- [Import a GitHub repository](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/cube-core/migrate-from-core/import-github-repository.md): This guide walks you through setting up Cube Cloud, importing a GitHub repository with an existing Cube project, and connecting to your database.
- [Import a GitLab repository](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/cube-core/migrate-from-core/import-gitlab-repository-via-ssh.md): Cube Cloud onboarding that imports an existing Cube project from GitLab over SSH and links it to your database.
- [Migrate from Cube Core to Cube Cloud](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/cube-core/migrate-from-core/index.md): Import your self-hosted Cube Core project into Cube Cloud using Git, SSH, or the CLI.
- [Import a local project to Cube Cloud with CLI](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/cube-core/migrate-from-core/upload-with-cli.md): This guide walks you through setting up Cube Cloud, importing an existing Cube project from a local machine via SSH, and connecting to your database.
- [Running in production](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/cube-core/running-in-production.md): Cube makes use of two different kinds of cache:
- [Security context](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/data-modeling/access-control/context.md): How Cube derives verified user claims from inbound JWTs and where those claims plug into query rewrite and compile-time logic.
- [Access Control](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/data-modeling/access-control/index.md): Learn how Cube separates authentication and authorization to control who can access your data and platform features.
- [Member-level security](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/data-modeling/access-control/member-level-security.md): Covers restricting which cubes, views, and members end users can query, including defaults and policy configuration with includes and excludes.
- [Row-level security](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/data-modeling/access-control/row-level-security.md): Covers applying group- and attribute-based filters so query results only include rows users are allowed to see.
- [AI context](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/data-modeling/ai-context.md): Improve AI accuracy and trust by enriching your semantic layer with descriptions and AI-specific context that helps agents generate better insights.
- [Calendar cubes](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/data-modeling/concepts/calendar-cubes.md): Defines calendar cubes from dedicated calendar tables to drive custom fiscal or retail time shifts and non-default time granularities where Tesseract is enabled.
- [Data blending](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/data-modeling/concepts/data-blending.md): When time is the only practical link between cubes, explains the union-style blending pattern to combine metrics without a traditional multi-cube join.
- [Syntax](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/data-modeling/concepts/syntax.md): Specifies the model directory layout, file naming, and when to use YAML versus JavaScript for Cube data model files.
- [Cubes](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/data-modeling/cubes.md): Cubes represent the tables in your database. Each cube maps to a table or query in your data source and contains measures, dimensions, joins, and pre-aggregations.
- [Access policies](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/data-modeling/data-access-policies.md): Declares group-scoped policies that combine member access, row filters, and masking rules directly in the data model.
- [Data Model IDE](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/data-modeling/data-model-ide.md): Covers the browser code editor for full data modeling features, branch-based dev APIs, and testing model changes before they reach production traffic.
- [Development mode](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/data-modeling/dev-mode.md): Outlines development mode in Cube Cloud—branch-scoped APIs, save and commit flows, and safe iteration before promoting changes to production.
- [Dimensions](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/data-modeling/dimensions.md): Dimensions are attributes that describe individual rows of data — the fields you group by and filter on, such as status, city, or created_at.
- [Export and import](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/data-modeling/dynamic/code-reusability-export-and-import.md): This functionality only works with data models written in JavaScript, not YAML.
- [Dynamic Data Models](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/data-modeling/dynamic/index.md): Generate data models programmatically using Jinja with Python or JavaScript for dynamic schema creation.
- [Data modeling with JavaScript](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/data-modeling/dynamic/javascript.md): This functionality only works with data models written in JavaScript, not YAML.
- [Data modeling with YAML, Jinja, and Python](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/data-modeling/dynamic/jinja.md): Jinja and Python techniques for templating YAML models—loops, includes, and runtime generation—to keep large or multi-tenant schemas maintainable.
- [Execution Environment (JavaScript)](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/data-modeling/dynamic/schema-execution-environment.md): How JavaScript model code runs inside Cube’s Node VM, including custom require, forbidden globals, and constraints compared to normal Node scripts.
- [Extending cubes](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/data-modeling/extending-cubes.md): Use extends on cubes to inherit and merge members from a parent so shared measures, dimensions, and joins stay defined once.
- [Joins](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/data-modeling/joins.md): Joins define relationships between cubes, allowing Cube to automatically generate multi-table SQL queries when views combine data from multiple cubes.
- [Measures](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/data-modeling/measures.md): Measures compute aggregated values across rows — counts, sums, averages, and more complex calculations like rolling windows, time shifts, and rankings.
- [Multi-fact views](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/data-modeling/multi-fact-views.md): Analyze data across multiple fact tables that share common dimensions like time or customers, without row multiplication or manual workarounds.
- [Getting started](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/data-modeling/overview.md): Build a reusable semantic layer that provides the shared context for AI agents, BI dashboards, and embedded analytics — turning warehouse tables into governed metrics and dimensions.
- [SQL Runner](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/data-modeling/sql-runner.md): Describes running arbitrary SQL against connected warehouses or Cube Store from Cube Cloud to explore data and inspect Cube-generated SQL.
- [Views](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/data-modeling/views.md): Views are curated datasets that sit on top of cubes and create a user-friendly facade of your data model for downstream consumers, AI agents, and embedded analytics.
- [Visual Modelerer](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/data-modeling/visual-modeler.md): Walks through Cube Cloud’s browser-based Visual Modeler for no-code modeling, including setup, workflow, and known limitations versus the code editor.
- [Analytics Chat](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/explore-analyze/analytics-chat.md): Conversational analytics interface for asking plain-language questions and getting trusted, AI-powered insights from your semantic layer.
- [Area](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/explore-analyze/charts/chart-types/area.md): Show volume or part-to-whole trends over time with a filled region beneath the line.
- [Bar](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/explore-analyze/charts/chart-types/bar.md): Compare values across categories with grouped, stacked, percentage, and horizontal variants.
- [Boxplot](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/explore-analyze/charts/chart-types/boxplot.md): Display the statistical distribution of a measure across categories using box-and-whisker plots.
- [Heatmap](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/explore-analyze/charts/chart-types/heatmap.md): Visualize a measure across two categorical dimensions as a color-coded grid.
- [HTML](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/explore-analyze/charts/chart-types/html.md): Build fully custom layouts using HTML templates with Handlebars and JavaScript.
- [Chart types](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/explore-analyze/charts/chart-types/index.md): Overview of all built-in chart types available in Cube workbooks.
- [KPI](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/explore-analyze/charts/chart-types/kpi.md): Highlight key metrics with composable blocks — numbers, comparisons, progress bars, sparklines, text, and HTML.
- [Line](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/explore-analyze/charts/chart-types/line.md): Track how a measure changes over time or across an ordered dimension.
- [Map](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/explore-analyze/charts/chart-types/map.md): Plot geographic data using latitude and longitude coordinates on an interactive Mapbox map.
- [Pie & donut](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/explore-analyze/charts/chart-types/pie.md): Show how a single measure is distributed across a small number of categories.
- [Scatter](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/explore-analyze/charts/chart-types/scatter.md): Plot two measures against each other to find correlations, clusters, and outliers.
- [Table](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/explore-analyze/charts/chart-types/table.md): Display query results as a configurable table with pivots, conditional formatting, and inline visualizations.
- [Axes](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/explore-analyze/charts/configuration/axes.md): Configure axis titles, grid lines, label formatting, dual Y-axis, and reference lines.
- [Color & stacking](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/explore-analyze/charts/configuration/color-and-stacking.md): Configure color palettes, stacking behavior, stacked segment sorting, and legend placement for charts.
- [Data labels](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/explore-analyze/charts/configuration/data-labels.md): Display totals directly on stacked bar charts with configurable positioning and formatting.
- [Configure charts](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/explore-analyze/charts/configuration/index.md): Reference for chart configuration options — series mapping, color, axes, tooltips, and data labels.
- [Series configuration](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/explore-analyze/charts/configuration/series-configuration.md): Configure individual series — mark type, color, and display options — independently from the global chart settings.
- [Series mapping](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/explore-analyze/charts/configuration/series-mapping.md): Assign query columns to chart channels — X axis, Y axis, color, size, and tooltips.
- [Tooltips](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/explore-analyze/charts/configuration/tooltips.md): Control which fields appear when a user hovers over a chart mark.
- [Custom visualizations](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/explore-analyze/charts/custom.md): Edit raw Vega-Lite specs to build visualizations beyond what the chart builder supports.
- [Charts](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/explore-analyze/charts/index.md): Visualize query results as charts, tables, KPIs, and maps directly inside Cube workbooks.
- [Dashboards](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/explore-analyze/dashboards/index.md): Curate and share polished views of your workbook reports with stakeholders as interactive dashboards.
- [Styling](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/explore-analyze/dashboards/styling.md): Customize the appearance of a dashboard from the Styling panel in the Dashboard Builder.
- [AI summary](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/explore-analyze/dashboards/widgets/ai-summary.md): Generate natural-language summaries of dashboard data on demand using an AI agent.
- [Charts](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/explore-analyze/dashboards/widgets/charts.md): Display reports from your workbook as visualizations on the dashboard.
- [Controls](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/explore-analyze/dashboards/widgets/controls.md): Filter and time grain switcher widgets that let dashboard viewers change what's shown on the dashboard.
- [Widgets](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/explore-analyze/dashboards/widgets/index.md): Building blocks for dashboards — charts, text, controls, and AI summaries that you arrange on the canvas to tell your data story.
- [Text](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/explore-analyze/dashboards/widgets/text.md): Add titles, descriptions, and rich formatting to dashboards using Markdown.
- [Explore](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/explore-analyze/explore.md): Self-serve data exploration from Analytics Chat, dashboards, or any semantic view — governed by your data model, shareable via URL.
- [Notifications](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/explore-analyze/notifications.md): Notifications are available on Premium and Enterprise plans.
- [Playground](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/explore-analyze/playground.md): Browser-based workspace to inspect cubes and views, run ad hoc queries, and copy API-ready examples while developing the semantic model.
- [Scheduled Refreshes](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/explore-analyze/scheduled-refreshes.md): Scheduled refreshes are available on Premium and Enterprise plans.
- [Calculated fields](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/explore-analyze/workbooks/calculated-fields.md): Create ad-hoc custom dimensions and measures with Semantic SQL in workbooks, with help from AI or the field picker.
- [Workbooks](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/explore-analyze/workbooks/index.md): Build reports and explore data with AI agents, organize analyses across multiple tabs, and share trusted insights with your team.
- [Querying data](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/explore-analyze/workbooks/querying-data.md): In the Semantic Query tab, you can query the semantic layer. On the left, there is a selector for the semantic view that you want to query.
- [Source SQL Tabs](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/explore-analyze/workbooks/source-sql-tabs.md): Run warehouse-native SQL inside Workbooks—by hand or with AI help—to explore raw tables before promoting logic into the semantic model.
- [Connect to Snowflake](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/getting-started/cloud/connect-to-snowflake.md): Provision a Cube Cloud deployment, create a project, and authenticate Cube to query tables in Snowflake.
- [Create your first data model](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/getting-started/cloud/create-data-model.md): Tour cubes, views, and the visual modeler in Cube Cloud as you refine an auto-generated schema into a production-ready semantic model.
- [Getting Started with Cube Cloud and Snowflake](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/getting-started/cloud/index.md): Follow a step-by-step tutorial to connect Cube Cloud to Snowflake, build a data model, and query from BI and React.
- [Load data](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/getting-started/cloud/load-data.md): The following steps will guide you through setting up a Snowflake account and uploading the demo dataset, which is stored as CSV files in a public S3 bucket.
- [Query from a BI tool](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/getting-started/cloud/query-from-bi.md): Connect BI tools to Cube Cloud through the SQL API and optionally automate dataset mapping with Semantic Layer Sync.
- [Query from a React app](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/getting-started/cloud/query-from-react-app.md): Wire a React app to Cube Cloud REST (JSON) or GraphQL endpoints using the JavaScript client libraries and deployment-scoped URLs.
- [Connect your data](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/getting-started/connect-your-data.md): If you don't have a data source to connect to, you can create a demo deployment to test all Cube features with demo data.
- [Create workbooks and dashboards](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/getting-started/create-workbooks-and-dashboards.md): Workbooks are places to curate and organize your analysis. You can create multiple reports using tabs, each focusing on different aspects of your data.
- [Connect to Databricks](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/getting-started/databricks/connect-to-databricks.md): Provision a Cube Cloud deployment, create a project, and connect Cube to Databricks for warehouse-backed semantic queries.
- [Create your first data model](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/getting-started/databricks/create-data-model.md): Build and navigate cubes and views in Cube Cloud when Databricks is your warehouse, using the visual modeler and development mode.
- [Getting Started with Cube Cloud and Databricks](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/getting-started/databricks/index.md): Follow a step-by-step tutorial to connect Cube Cloud to Databricks, build a data model, and query from BI and React.
- [Load data](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/getting-started/databricks/load-data.md): The following steps will guide you through setting up a Databricks account and uploading the demo dataset, which is stored as CSV files in a public S3 bucket.
- [Query from a BI tool](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/getting-started/databricks/query-from-bi.md): Use the SQL API and Semantic Layer Sync from a Databricks-oriented Cube Cloud setup so BI tools consume your semantic layer.
- [Query from a React app](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/getting-started/databricks/query-from-react-app.md): Call Cube Cloud APIs from a React app against a Databricks-backed deployment, including dev-mode URLs and signed requests.
- [Develop in IDE](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/getting-started/develop-in-ide.md): Use Cube Cloud IDE branch environments, commits, merges, and AI assistance to iterate on your data model without destabilizing production.
- [Embed analytics](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/getting-started/embed-analytics.md): Ship agentic embedded analytics in your product — choose among iframe embeds, the conversational Chat API, or headless core APIs for full control.
- [Getting Started with Cube](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/getting-started/index.md): Sign up for Cube Cloud, connect a data source, and let AI build your initial semantic model.
- [Import a Bitbucket repository](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/getting-started/migrate-from-core/import-bitbucket-repository-via-ssh.md): Onboard an existing Cube project by linking a Bitbucket repository over SSH in Cube Cloud and completing database connectivity.
- [Import a Git repository](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/getting-started/migrate-from-core/import-git-repository-via-ssh.md): This guide walks you through setting up Cube Cloud, importing a generic Git repository with an existing Cube project via SSH, and connecting to your database.
- [Import a GitHub repository](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/getting-started/migrate-from-core/import-github-repository.md): This guide walks you through setting up Cube Cloud, importing a GitHub repository with an existing Cube project, and connecting to your database.
- [Import a GitLab repository](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/getting-started/migrate-from-core/import-gitlab-repository-via-ssh.md): Onboard an existing Cube project by linking a GitLab repository over SSH in Cube Cloud and completing database connectivity.
- [Import a local project to Cube Cloud with CLI](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/getting-started/migrate-from-core/upload-with-cli.md): This guide walks you through setting up Cube Cloud, importing an existing Cube project from a local machine via SSH, and connecting to your database.
- [Use analytics chat](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/getting-started/use-analytics-chat.md): Once your initial semantic model is ready, you can start using Cube features: analytics chat, workbooks, dashboards, IDE and more.
- [Cube Cloud for Sheets](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/integrations/google-sheets.md): Cube Cloud for Sheets is the native Google Sheets add-on for Cube Cloud.
- [Cube Cloud for Excel](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/integrations/microsoft-excel.md): Cube Cloud for Excel is the native Microsoft Excel add-in for Cube Cloud.
- [Microsoft Power BI](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/integrations/power-bi/index.md): Microsoft Power BI is a popular business intelligence tool.
- [Kerberos authentication](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/integrations/power-bi/kerberos.md): Kerberos is the most common authentication method for Windows environments. It can be used to authenticate requests to DAX API.
- [NTLM authentication](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/integrations/power-bi/ntlm.md): NTLM is an authentication method developed by Microsoft that can be used to authenticate requests to DAX API.
- [Semantic Layer Sync](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/integrations/semantic-layer-sync/index.md): Automatically synchronize your Cube data model into BI tools like Superset, Metabase, Preset, and Tableau.
- [Semantic Layer Sync with Preset](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/integrations/semantic-layer-sync/preset.md): This page details the support for Preset in Semantic Layer Sync.
- [Semantic Layer Sync with Apache Superset](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/integrations/semantic-layer-sync/superset.md): This page details the support for Apache Superset in Semantic Layer Sync.
- [Semantic Layer Sync with Tableau](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/integrations/semantic-layer-sync/tableau.md): This page details the support for Tableau in Semantic Layer Sync.
- [Slack](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/integrations/slack.md): Connect Cube to Slack for notifications and AI-powered analytics chat.
- [Snowflake Semantic Views Integration](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/integrations/snowflake-semantic-views.md): Snowflake Semantic Views integration is available in Cube on the Enterprise plan.
- [Tableau Integration](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/integrations/tableau.md): Connect Tableau to Cube using Semantic Layer Sync to programmatically create and update Tableau data sources.
- [Introduction](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/introduction.md): Cube is the agentic analytics platform for business intelligence and embedded analytics, powered by the open-source semantic layer.
- [Folders](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/organize-content/folders.md): Organize workbooks, dashboards, and explorations into a hierarchical folder structure for easy navigation and access control.
- [Share content](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/organize-content/sharing.md): Share workbooks, dashboards, and explorations with specific users, groups, or your entire organization.
- [Getting started with pre-aggregations](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/pre-aggregations/getting-started-pre-aggregations.md): Conceptual introduction to pre-aggregations as Cube Store–backed rollups that tame warehouse latency as analytical data volume grows.
- [Overview](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/pre-aggregations/index.md): Understand Cube's two-level caching with in-memory query results and configurable pre-aggregations.
- [Lambda pre-aggregations](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/pre-aggregations/lambda-pre-aggregations.md): Lambda-style pre-aggregations that merge historical rollups with fresher source or streaming layers for near-real-time serving on Cube Store.
- [Matching queries with pre-aggregations](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/pre-aggregations/matching-pre-aggregations.md): When executing a query, Cube will try to match and fulfill it with the best available pre-aggregation.
- [Caching Overview](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/pre-aggregations/overview.md): Learn how Cube's caching layer accelerates queries with pre-aggregations.
- [Refreshing pre-aggregations](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/pre-aggregations/refreshing-pre-aggregations.md): Refresh worker responsibilities, key environment variables for scheduled builds, and troubleshooting when refresh intervals fall behind.
- [Running in production](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/pre-aggregations/running-in-production.md): Cube makes use of two different kinds of cache:
- [Using pre-aggregations](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/docs/pre-aggregations/using-pre-aggregations.md): Operational guide to aggregate awareness—how Cube picks rollups, partitions data, enforces rollup-only mode, and tunes pre-aggregation behavior.
- [Authenticate requests to Cube with Auth0](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/embedding/authentication/auth0.md): Step-by-step Auth0 application and API setup, rules for enriching JWTs with claims, and Cube configuration for Auth0-issued tokens.
- [Authenticate requests to Cube with AWS Cognito](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/embedding/authentication/aws-cognito.md): Step-by-step wiring of AWS Cognito User Pools and Hosted UI to Cube, including optional Lambda hooks for custom JWT claims.
- [JSON Web Token authentication](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/embedding/authentication/jwt.md): Walks through validating JWTs from clients or identity providers, the relevant Cube settings and environment variables, and custom check_auth implementations.
- [Security context](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/embedding/authentication/security-context.md): Explains how verified JWT claims become the security context Cube uses for access control, query rewrite, and multi-tenant configuration.
- [Analytics Chat](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/embedding/iframe/analytics-chat.md): Embed Cube Analytics Chat into your applications via iframe.
- [Private embedding](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/embedding/iframe/auth/private.md): Authenticate iframe-embedded Cube content with users' existing Cube accounts.
- [Signed embedding](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/embedding/iframe/auth/signed.md): Authenticate iframe-embedded Cube content with secure, server-generated sessions.
- [Creator Mode](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/embedding/iframe/creator-mode.md): Embed the full Cube application so users can build and modify their own dashboards.
- [Customization](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/embedding/iframe/customization.md): Customize the appearance of embedded dashboards and the embedded Cube app.
- [Dashboards](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/embedding/iframe/dashboards.md): Embed Cube dashboards into your applications via iframe.
- [Overview](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/embedding/index.md): Embed AI-powered analytics into your applications using iframes, the React Embed SDK, or a headless approach.
- [Multitenancy](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/embedding/multitenancy.md): Reference for tenant-aware Cube configuration—per-tenant drivers, schemas, repositories, refresh, and query rewrite driven by security context.
- [React Embed SDK](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/embedding/react-embed-sdk.md): React Embed SDK is currently in public preview. The API may change in future releases.
- [Chart Prototyping](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/embedding/vizard.md): Turn a Playground query into starter front-end code that charts REST (JSON) API results for embedded analytics prototypes.
- [Introduction](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/introduction.md): Cube is the business intelligence platform powered by the open-source semantic layer.
- [Agent-to-agent: using the Chat API as a tool](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/recipes/ai/agent-to-agent.md): In this recipe, you will learn how to wrap the Cube Chat API as a tool for an external AI agent, enabling agent-to-agent analytics workflows.
- [Providing a custom data model for each tenant](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/recipes/configuration/custom-data-model-per-tenant.md): We have multiple users and we would like them to have different data models. These data models can be completely different or have something in common.
- [Optimizing data source usage](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/recipes/configuration/data-store-cost-saving-guide.md): Shrink warehouse spend by shaping how Cube hits upstream stores through pre-aggregations, refresh strategy, and workload-aware settings.
- [Referencing environment variables](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/recipes/configuration/environment-variables.md): Read deployment secrets and tunables from environment variables inside Python config, JavaScript config, and data model code.
- [Providing a custom data source for each tenant](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/recipes/configuration/multiple-sources-same-schema.md): Route each tenant to its own physical database while reusing one data model by combining context IDs with a dynamic driver factory.
- [Using SSL connections to a data source](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/recipes/configuration/using-ssl-connections-to-data-source.md): Enable TLS to upstream databases from Cube and, when required, inject custom CA bundles, client certificates, and private keys.
- [Retrieving numeric values on the front-end](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/recipes/core-data-api/cast-numerics.md): Recipe for coercing REST (JSON) numeric strings into JavaScript numbers on the client, including precision pitfalls and when casting is unsafe.
- [Using cloud groups and user attributes with Core Data APIs](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/recipes/core-data-api/cloud-groups-and-user-attributes.md): Pass Cube Cloud groups and user attributes via JWT when querying Core Data APIs directly, so data access policies work seamlessly.
- [Drilldowns](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/recipes/core-data-api/drilldowns.md): Configure measure drill members in the data model and invoke `ResultSet.drillDown()` to fetch detail rows behind an aggregate.
- [Getting unique values for a field](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/recipes/core-data-api/getting-unique-values-for-a-field.md): Recipe for powering filter dropdowns by querying distinct dimension values from Cube’s data APIs on a users-by-city example.
- [Implementing pagination](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/recipes/core-data-api/pagination.md): Recipe for paged tables over Cube queries using `limit`, `offset`, and deterministic ordering on a sample orders model.
- [Real-Time data fetch in the REST (JSON) API](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/recipes/core-data-api/real-time-data-fetch.md): Recipe for live-updating dashboards using the REST (JSON) API with WebSocket transport and `@cubejs-client` subscriptions.
- [Implementing custom sorting](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/recipes/core-data-api/sorting.md): In this recipe, you will learn how to sort the result set of a query by your custom criteria.
- [Daily, Weekly, Monthly Active Users (DAU, WAU, MAU)](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/recipes/data-modeling/active-users.md): We want to know the customer engagement of our store. To do this, we need to use an Active Users metric.
- [Implementing retention analysis & cohorts](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/recipes/data-modeling/cohort-retention.md): This is an advanced topic that assumes good, pre-existing knowledge of SQL and Cube.
- [Implementing custom calendars](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/recipes/data-modeling/custom-calendar.md): Map fact tables to irregular retail or fiscal calendars—illustrated with the 4-5-4 pattern—using dedicated calendar cubes and proxy dimensions.
- [Implementing custom time dimension granularities](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/recipes/data-modeling/custom-granularity.md): This recipe shows examples of commonly used custom granularities.
- [Custom ordering for categorical values](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/recipes/data-modeling/custom-order.md): This recipe shows how to define a custom sort order for dimension values that don't follow alphabetical or numeric ordering.
- [Using Cube with dbt](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/recipes/data-modeling/dbt.md): Layer Cube cubes and views on dbt-built warehouse models, aligning documentation patterns with dimensions, measures, joins, and downstream APIs.
- [Designing metrics](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/recipes/data-modeling/designing-metrics.md): Compare entity-first and metrics-first ways to structure views and expose your semantic layer to BI tools, apps, and agents.
- [Using dynamic union tables](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/recipes/data-modeling/dynamic-union-tables.md): Sometimes, you may have a lot of tables in a database, which actually relate to the same entity.
- [Implementing Entity-Attribute-Value Model (EAV)](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/recipes/data-modeling/entity-attribute-value.md): Shape sparse entity-attribute-value warehouse tables into queryable dimensions and joins while preserving flexibility across entities.
- [Implementing event analytics](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/recipes/data-modeling/event-analytics.md): Turn raw clickstream events into session definitions and metrics you control, using SQL-based patterns that work across common event pipelines.
- [Calculating filtered aggregates](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/recipes/data-modeling/filtered-aggregates.md): Model cross-cube filters so measures aggregate facts in one entity while respecting dimensions and time bounds from related cubes.
- [Implementing funnel analysis](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/recipes/data-modeling/funnels.md): Configure multi-step conversion funnels with the packaged Funnels helper in JavaScript data models for product and marketing analytics.
- [Calculating nested aggregates](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/recipes/data-modeling/nested-aggregates.md): Express aggregates-of-aggregates—such as a median of per-group sums—by splitting inner and outer rollups across joined cubes and subquery dimensions.
- [Passing dynamic parameters in a query](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/recipes/data-modeling/passing-dynamic-parameters-in-a-query.md): In some cases we may want to let a user select a filter value and be able to use that value in calculations without filtering the entire query.
- [Calculating averages and percentiles](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/recipes/data-modeling/percentiles.md): Learn how to model and query percentile-based metrics alongside averages so skewed numeric distributions are represented accurately in Cube.
- [Calculating period-over-period changes](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/recipes/data-modeling/period-over-period.md): Often, there's a need to calculate a period-over-period change in a metric, e.g., week-over-week or month-over-month growth of clicks, orders, revenue, etc.
- [Polymorphic cubes](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/recipes/data-modeling/polymorphic-cubes.md): Models one shared fact or dimension table that represents multiple entity types by extending a base cube into type-specific cubes with correct joins and logic.
- [Calculating share of total](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/recipes/data-modeling/share-of-total.md): Compute each dimension member's contribution to the grand total—or to a fixed subtotal—using calculated fields or multi-stage measures.
- [Implementing data snapshots](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/recipes/data-modeling/snapshots.md): Build point-in-time snapshots from change-history data so you can report the latest status of an entity as of any date.
- [Working around string time dimensions](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/recipes/data-modeling/string-time-dimensions.md): Cube always expects a timestamp with timezone (or compatible type) as an input to the time dimension.
- [Cube style guide](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/recipes/data-modeling/style-guide.md): This style guide includes best practices on data modeling in Cube.
- [Generating the data model dynamically](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/recipes/data-modeling/using-dynamic-measures.md): Generate measures programmatically from changing reference data so distribution and percentage metrics stay in sync without hand-editing each value.
- [Calculating the internal rate of return (XIRR)](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/recipes/data-modeling/xirr.md): We'd like to calculate the internal rate of return (XIRR) for a schedule of cash flows that is not necessarily periodic.
- [Recipes Home](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/recipes/index.md): Step-by-step tutorials and best practices for getting the most out of Cube.
- [Disabling pre-aggregations](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/recipes/pre-aggregations/disabling-pre-aggregations.md): We want to disable pre-aggregations unless some condition is fulfilled, e.g., unless the deployment is running in a production environment.
- [Incrementally building pre-aggregations for a date range](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/recipes/pre-aggregations/incrementally-building-pre-aggregations-for-a-date-range.md): How to rebuild only the time-bounded partitions you need instead of refreshing an entire multi-year partitioned rollup.
- [Joining data from multiple data sources](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/recipes/pre-aggregations/joining-multiple-data-sources.md): Cross-database rollup joins that relate entities living in different warehouses while keeping aggregation performant.
- [Accelerating non-additive measures](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/recipes/pre-aggregations/non-additivity.md): Modeling techniques so averages, distinct counts, and similar non-additive measures still benefit from pre-aggregation acceleration.
- [Refreshing select partitions](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/recipes/pre-aggregations/refreshing-select-partitions.md): Partition-level refresh patterns using refresh_key and FILTER_PARAMS when dimension values change long after the fact.
- [Using `original_sql` and `rollup` pre-aggregations effectively](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/recipes/pre-aggregations/using-originalsql-and-rollups-effectively.md): Recipe for materializing expensive cube SQL once with original_sql, then reusing it across rollup pre-aggregations and ad hoc queries.
- [Configuration options](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/reference/configuration/config.md): Following configuration options can be defined either using Python, in a cube.py file, or using JavaScript, in a cube.js file.
- [Environment variables](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/reference/configuration/environment-variables.md): To see a complete list of environment variables for a specific data source, please check the relevant page on Connecting to Data Sources.
- [Control Plane API](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/reference/control-plane-api.md): REST surface for automating Cube Cloud deployments, environments, JWT issuance, and audit log export.
- [DAX API](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/reference/core-data-apis/dax-api/index.md): Connect Microsoft Power BI to Cube natively using the DAX API for superior feature support over the SQL API.
- [DAX API reference](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/reference/core-data-apis/dax-api/reference.md): The DAX API supports the following functions.
- [GraphQL API](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/reference/core-data-apis/graphql-api/index.md): Query Cube over HTTP using GraphQL for embedded analytics and front-end data applications.
- [GraphQL API reference](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/reference/core-data-apis/graphql-api/reference.md): GraphQL API supports the following requests and parameters.
- [Core Data APIs](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/reference/core-data-apis/index.md): Query the Cube semantic layer using SQL, DAX, REST (JSON), or GraphQL protocols depending on your application needs.
- [MDX API](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/reference/core-data-apis/mdx-api.md): XMLA/MDX connectivity for Windows Excel PivotTables against Cube Cloud, with preview availability and Enterprise hosting requirements.
- [Querying data APIs](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/reference/core-data-apis/queries.md): Cross-cutting query behavior in Cube—default ordering and limits, query kinds, and how REST (JSON), GraphQL, and SQL APIs interpret them.
- [REST (JSON) API](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/reference/core-data-apis/rest-api/index.md): Deliver data from Cube over HTTP to front-end apps, notebooks, low-code tools, and automated jobs.
- [Query format in the REST (JSON) API](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/reference/core-data-apis/rest-api/query-format.md): Field-by-field guide to the REST (JSON) API `/load` query JSON, including members, filters, time dimensions, limits, totals, and data blending arrays.
- [REST (JSON) API reference](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/reference/core-data-apis/rest-api/reference.md): The REST (JSON) API provides the following endpoints.
- [Cube Core](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/reference/core-data-apis/sql-api/index.md): Connect any Postgres-compatible client or BI tool to Cube using the Postgres-protocol SQL API.
- [Joins in the SQL API](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/reference/core-data-apis/sql-api/joins.md): The best practice is to use views to specify explicit join paths for SQL API queries.
- [Query format in the SQL API](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/reference/core-data-apis/sql-api/query-format.md): SQL API runs queries in the Postgres dialect that can reference those tables and columns.
- [SQL API reference](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/reference/core-data-apis/sql-api/reference.md): SQL API supports the following commands as well as functions and operators.
- [Authentication and Authorization](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/reference/core-data-apis/sql-api/security.md): Harden the SQL API with `checkSqlAuth`, per-user passwords, security-context switching, and row-level enforcement hooks.
- [Context variables](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/reference/data-modeling/context-variables.md): Context variables like CUBE, FILTER_PARAMS, SQL_UTILS, and COMPILE_CONTEXT are available within cube definitions for dynamic SQL and model generation.
- [Cubes](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/reference/data-modeling/cube.md): Cubes represent tables of data. Each cube contains measures, dimensions, joins, pre-aggregations, and access policies.
- [`cube` package](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/reference/data-modeling/cube-package.md): The cube Python package provides tools for setting configuration options and the Jinja template context for YAML data models.
- [`cube_dbt` package](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/reference/data-modeling/cube_dbt.md): cube_dbt is a Python package for loading dbt project metadata and generating Cube data models from dbt models.
- [Access policies](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/reference/data-modeling/data-access-policies.md): Access policies control row-level and member-level security on cubes and views, restricting what data users can see.
- [Dimensions](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/reference/data-modeling/dimensions.md): Dimensions are attributes related to measures, such as country, age, or occupation. They support various types, formatting, and hierarchy membership.
- [Hierarchies](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/reference/data-modeling/hierarchies.md): Hierarchies group dimensions into levels of granularity, allowing users to drill down or roll up for analysis.
- [Joins](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/reference/data-modeling/joins.md): Joins define relationships between cubes, allowing you to access and compare members from multiple cubes at the same time.
- [`lkml2cube` package](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/reference/data-modeling/lkml2cube.md): lkml2cube is a command-line tool for converting LookML models into Cube data models during a Looker-to-Cube migration.
- [Measures](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/reference/data-modeling/measures.md): Measures are aggregations over columns in your database table, supporting types like count, sum, avg, rolling windows, and more.
- [Pre-aggregations](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/reference/data-modeling/pre-aggregations.md): Pre-aggregations are materialized summaries of data that accelerate query performance by pre-computing results.
- [Segments](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/reference/data-modeling/segments.md): Segments are predefined, reusable filters that package common SQL predicates for use in queries and tooling.
- [Views](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/reference/data-modeling/view.md): Views are curated compositions of cube members that simplify consumption and clarify join paths for downstream tools.
- [Chat API](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/reference/embed-apis/chat-api.md): The Chat API enables real-time conversations with AI agents for analytics and data exploration.
- [Generate Session](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/reference/embed-apis/generate-session.md): HTTP reference for minting short-lived embed sessions that authorize external viewers under signed embedding without sharing API keys.
- [Embed APIs](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/reference/embed-apis/index.md): Integrate Cube analytics into your applications using the Chat API and session-based secure embedding.
- [API Reference](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/reference/index.md): Explore Cube's Embed APIs, Core Data APIs, and management APIs for powering data applications.
- [Angular](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/reference/javascript-sdk/angular.md): Cube is visualization-agnostic, so you can build any user interface for your application.
- [npm](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/reference/javascript-sdk/index.md): Use Cube's JavaScript client and React, Vue, or Angular bindings to build data-driven UIs.
- [React](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/reference/javascript-sdk/react.md): Cube is visualization-agnostic, so you can build any user interface for your application.
- [`@cubejs-client/core`](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/reference/javascript-sdk/reference/cubejs-client-core.md): Vanilla JavaScript client for Cube.
- [`@cubejs-client/ngx`](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/reference/javascript-sdk/reference/cubejs-client-ngx.md): @cubejs-client/ngx provides Angular Module for easy integration Cube into an Angular app.
- [`@cubejs-client/react`](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/reference/javascript-sdk/reference/cubejs-client-react.md): @cubejs-client/react provides React Components for easy Cube integration in a React app.
- [`@cubejs-client/vue3`](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/reference/javascript-sdk/reference/cubejs-client-vue.md): @cubejs-client/vue3 provides Vue Components to easily integrate Cube within a Vue.js app.
- [`@cubejs-client/ws-transport`](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/reference/javascript-sdk/reference/cubejs-client-ws-transport.md): WebSocket transport for Cube client
- [Vue](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/reference/javascript-sdk/vue.md): Cube is visualization-agnostic, so you can build any user interface for your application.
- [MCP server](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/reference/mcp-server.md): Connect MCP-aware assistants to Cube through a hosted HTTPS endpoint with OAuth, admin defaults, and no local bridge process.
- [Integration with Apache Airflow](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/reference/orchestration-api/airflow.md): Pair Airflow (including Astro) with Cube using `airflow-provider-cube` operators for loads, pre-aggregations, and orchestration triggers.
- [Integration with Dagster](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/reference/orchestration-api/dagster.md): Dagster is a popular open-source data pipeline orchestrator. Dagster Cloud is a fully managed service for Dagster.
- [Orchestration API](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/reference/orchestration-api/index.md): Trigger pre-aggregation refreshes from Airflow, Dagster, or Prefect instead of relying on Cube's scheduled refresh.
- [Integration with Prefect](https://cubed3-igor-core-418-duplicate-view-definitions-break-deplo.mintlify.app/reference/orchestration-api/prefect.md): Prefect is a popular open-source orchestrator for data-intensive workflows. Prefect Cloud is a fully managed service for Prefect.