Databricks documentation
The Databricks Lakehouse Platform, from the original creators of Apache Spark, enables data teams to collaborate to solve some of the world’s toughest problems.
Getting started
User guides
- Data Science & Engineering
- Machine Learning
- Databricks SQL
- Data
- Delta Lake
- Introduction
- Delta Lake quickstart
- Introductory notebooks
- Ingest data into Delta Lake
- Table batch reads and writes
- Table streaming reads and writes
- Table deletes, updates, and merges
- Change data feed
- Table utility commands
- Constraints
- Table protocol versioning
- Delta column mapping
- Delta Lake APIs
- Concurrency control
- Access Delta tables from external data processing engines
- Migration guide
- Best practices: Delta Lake
- Frequently asked questions (FAQ)
- Delta Lake resources
- Optimizations
- Delta table properties reference
- Developer tools
- Integrations
Administration guides
- Accounts and workspaces
- Administration overview
- Manage your Databricks account
- Manage your Databricks account (legacy)
- Access the admin console
- Manage users and groups
- Enable Databricks SQL for users and groups
- Enable access control
- Manage workspace objects and behavior
- Manage cluster configuration options
- Manage AWS infrastructure
- Disaster recovery
- Databricks access to customer workspaces using Genie
- Security
- Security overview
- Access control
- Secret management
- Credential passthrough
- Credential redaction
- Customer-managed keys for encryption
- Encrypt traffic between cluster worker nodes
- Secure cluster connectivity
- IP access lists
- Configure domain name firewall rules
- Best practices: GDPR and CCPA compliance using Delta Lake
- HIPAA-compliant deployment
- Data governance
- Data sharing
Reference guides