Note
Access to this page requires authorization. You can try signing in or changing directories.
Access to this page requires authorization. You can try changing directories.
If you're a data analyst who works primarily with SQL queries and your favorite BI tools, Databricks SQL provides an intuitive environment for running ad-hoc queries and creating dashboards on data stored in your data lake.
Note
Databricks SQL Serverless is not available in Azure China.
Learn the basics
| Step | Description |
|---|---|
| Basic Databricks SQL concepts | Familiarize yourself with the core interfaces, query concepts, data management tools, and authentication model in Databricks SQL. |
| Data warehousing architecture | Understand lakehouse architecture, medallion layers, and data modeling approaches for building a data warehouse. |
Build your first assets
| Step | Description |
|---|---|
| Explore sample dashboards | Import and interact with dashboards from the Dashboard Samples Gallery that visualize queries on sample data. |
| Create an AI/BI dashboard | Build a dashboard to explore data and share insights with your team using AI-assisted authoring and an enhanced visualization library. |
| Create a SQL warehouse | Provision a SQL warehouse to start running queries on your data. |
Connect and automate
| Step | Description |
|---|---|
| Use Databricks SQL with a notebook | Attach a notebook to a SQL warehouse to run SQL alongside Python, Scala, or R. |
| Load data with COPY INTO | Use COPY INTO to ingest data from cloud object storage into your Databricks SQL tables. |
| Use Databricks SQL in a job | Create, schedule, and monitor workflows that include Databricks SQL queries, dashboards, and alerts. |