Databricks documentation update: Dive into the latest Databricks docs, packed with hands-on how-to guides and reference content designed for data analysts, data scientists, and data engineers working across Databricks Data Science & Engineering, Machine Learning, and SQL. 

Here’s your weekly roundup of key updates to help you quickly catch up on what’s new and most relevant for your workloads.

GCP documentation update - 

Getting Started & Workspace Basics

• Tutorial: Build an ETL pipeline with Lakeflow Spark Declarative Pipelines
• Navigate the Lakehouse workspace UI
• What is Databricks One?
• Search for workspace objects

Data & AI/ML

• Query data
• Dashboards
• Generative AI models maintenance policy

Development & Integration

• Databricks Git folders
• CI/CD on Databricks

Administration & Governance

• Create a workspace
• Manage users, service principals, and groups
• Databricks Designated Services

Reference & Resources

• Databricks reference documentation
• Databricks release notes

AWS Documentation - 

Getting Started & Core Concepts

• Tutorial: Build an ETL pipeline with Lakeflow Spark Declarative Pipelines
• Navigate the Lakehouse workspace UI
• What is Databricks One?
• Search for workspace objects
• Query data

Databases & Data Management

• Lakebase Postgres
• Tutorial: Build an ETL pipeline with Lakeflow Spark Declarative Pipelines

Machine Learning & AI

• Generative AI models maintenance policy

Visualization & Dashboards

• Dashboards

Development, CI/CD & Automation

• Databricks Git folders
• CI/CD on Databricks
• Continuous integration and delivery on Databricks using Azure DevOps
• GitHub Actions
• CI/CD with Jenkins on Databricks
• Authorize access to Databricks resources
• Databricks SDKs
• SQL connectors, libraries, drivers, APIs, and tools

Integrations & Ecosystem

• Partner Connect set up best practices

Administration & Governance

• Create a workspace
• Manage users, service principals, and groups

Reference & Resources

• Databricks reference documentation
• Databricks release notes
• Databricks Designated Services

Azure documentation update - 

Getting Started & Workspace Basics

• Tutorial: Build an ETL pipeline with Lakeflow Spark Declarative Pipelines
• Navigate the Lakehouse workspace UI
• What is Databricks One?
• Search for workspace objects
• Data engineering with Databricks
• Data engineering concepts

Databricks Assistant & Automation

• Connect Databricks Assistant to MCP servers

Unity Catalog & Data Governance

• Create catalogs
• Work with files in Unity Catalog volumes
• What are tables in Azure Databricks?
• Apply tags to Unity Catalog securable objects
• Use Azure managed identities in Unity Catalog to access storage
• Manage external locations

Data Connectivity & Federation

• Connect to managed ingestion sources
• JDBC connection
• Run federated queries on Google BigQuery
• Lakehouse Federation for Salesforce Data 360 File Sharing
• Query external databases using the remote_query function
• Networking recommendations for Lakehouse Federation

Lakeflow & Data Pipelines

• Lakeflow Spark Declarative Pipelines tutorials
• Manage data quality with pipeline expectations
• Use streaming tables in Databricks SQL
• Use materialized views in Databricks SQL

Lakebase (Operational Database)

• Lakebase Postgres
• Lakebase Autoscaling
• What is Lakebase Autoscaling?
• Get started with Lakebase Postgres
• What is Lakebase Provisioned?
• What is a database instance?
• Authentication and permissions
• Connect and query

Databricks Apps & Development

• Databricks Apps
• Configure a Databricks app
• Develop Databricks apps
• Deploy a Databricks app

Administration & Management

• Databricks administration overview

Reference & Release Information

• Azure Databricks reference documentation
• Azure Databricks release notes

Thanks for tuning in to this week’s update! Got a topic you’d like us to dive into next? Share your suggestions in the comments, we’re excited to hear your ideas!