Databricks documentation

Databricks documentation provides how-to guidance and reference information for data analysts, data scientists, and data engineers solving problems in analytics and AI. The Databricks Data Intelligence Platform enables data teams to collaborate on data stored in the Lakehouse. See What is Databricks?

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Databricks technical documentation is organized by cloud provider. Use the cloud switcher in the upper right corner of the page to choose between Amazon Web Services, Google Cloud Platform, or Microsoft Azure.

Try Databricks

Task	Description
Start a Databricks free trial	Start your journey with Databricks by signing up for a free trial account.
Sign up for Databricks using your existing AWS account	Configure your first Databricks workspace and complete account onboarding.
Workspace UI	Learn the fundamentals of navigating and using the Databricks workspace interface.
Tutorial: Query and visualize data from a notebook	Get hands-on experience with data upload, SQL queries, and creating visualizations in Databricks.
Tutorial: Build an ETL pipeline with Lakeflow Declarative Pipelines	Create your first ETL pipeline to transform and process data using Databricks.

Explore Databricks

Task	Description
Data guides	Discover and connect to data sources, manage data assets, and perform exploratory data analysis.
Data engineering with Databricks	Build and manage ETL pipelines, process large data sets, and orchestrate data workflows.
AI and machine learning on Databricks	Develop, train, and deploy machine learning models and generative AI applications using MLflow and Databricks tools.
Tutorial: Build, evaluate, and deploy a retrieval agent	Get started with generative AI applications using the Agent Framework.
Databricks AI/BI	Create dashboards, reports, and visualizations for business insights and BI analytics.
Data warehousing on Databricks	Query and analyze data using SQL, manage schemas, and optimize data warehouse performance.
What is Lakebase?	Create and manage fully-managed, PostgreSQL-compatible databases with Lakebase, integrated with your Lakehouse.
Develop on Databricks	Build applications, integrate APIs, and extend Databricks functionality with custom code.

Manage Databricks

Task	Description
Administration	Configure account settings and manage workspaces, users, and administrative policies across your Databricks environment.
Security and compliance	Implement security controls, configure access policies, and ensure compliance with industry standards.
Data governance with Databricks	Establish data governance frameworks, manage data lineage, and implement data quality controls.

Reference

Reference type	Description
All reference documentation	Overview of API reference documentation, including reference for the Databricks REST API, SDKs, and Python APIs.

Quick links

Link	Description
Databricks release notes	Stay updated with the latest product updates, new features, and platform improvements.
Status Page	Monitor system status, service availability, and maintenance schedules across all regions.
Databricks technical terminology glossary	Find definitions for technical terms, concepts, and terminology used throughout Databricks.
Other resources	Limits and quotas, regions, support, product feedback, free training, migration guides, and more.