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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. Databricks SQL is not available in Azure Government regions.
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. |
| Connect BI tools with Partner Connect | Connect your Azure Databricks workspace to a BI and visualization partner solution. |