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- Data
Query, Analyze, and Manage Data with Databricks SQL
This learning path is actively in production. More content will be added to this path as it gets published and becomes available in the library. Planned content includes: 1. Up and Running with Databricks SQL (video course) 2. Query and Explore Data in Databricks SQL (video course) 3. Extract Insights and Visualize Data with Databricks SQL (video course) 4. Monitor and Optimize Queries in Databricks SQL (video course) 5. Integrate Databricks SQL with External Data Sources (video course) 6. Administer and Govern Databricks SQL Workspaces (video course)
Databricks SQL is a cloud-based analytics workspace that lets you query, visualize, and manage data directly on the Databricks Lakehouse Platform using familiar SQL syntax. In this path, you’ll learn how to explore and analyze data, build dashboards, optimize queries, and manage access and performance across your workspace. By completing this path, you’ll gain the practical skills to perform efficient, collaborative data analysis at scale in Databricks.
Content in this path
Databricks SQL
Start learning how to query, analyze, and manage data with Databricks SQL by watching the following courses.
Try this learning path for free
What You'll Learn
- How to get up and running with Databricks SQL
- How to query and explore data in Databricks SQL
- How to extract insights and visualize data in Databricks SQL
- How to monitor and optimize queries in Databricks SQL
- How to integrate Databricks SQL with external data sources
- How to administer and govern Databricks SQL workspaces
- Learners interested in this skill path should have a solid understanding of SQL syntax and relational database concepts. Learners will also benefit from familiarity with data analysis workflows and a general knowledge of cloud-based data platforms.
- Databricks
- SQL
- Databricks Lakehouse architecture
- Data warehousing
- Cloud data analytics
