Azure Databricks provides several ways to query your data:

1. SQL Editor:

• The Databricks SQL Editor is a web-based interface for writing, running, and visualizing SQL queries.
• It supports autocomplete, autoformatting, and other helpful features for writing SQL code.
• You can connect your queries to SQL warehouses (clusters optimized for SQL workloads) for fast and efficient processing.

2. Notebooks:

• Databricks notebooks let you combine code (Python, Scala, SQL, and R), visualizations, and text in a single document.
• You can use notebooks for interactive data exploration, analysis, and machine-learning tasks.
• Notebooks are excellent for collaborative work, as you can easily share them with others.

3. Databricks SQL:

• Databricks SQL is a unified environment for running SQL queries, building dashboards, and creating alerts.
• It offers a powerful and scalable SQL engine optimized for big data workloads.
• You can use Databricks SQL to create interactive dashboards that visualize your data in real-time.

4. Programmatic APIs:

• Databricks provides REST APIs that allow you to interact with the platform programmatically.
• You can use these APIs to submit jobs, query data, and manage clusters from your applications.

Getting Started:

• To start querying data in Azure Databricks, you’ll need a workspace and a cluster.
• You can create a free trial workspace on the Azure Databricks website.
• Once you have a workspace, you can create a cluster and choose a compute resource.
• Then, you can start writing SQL queries in the SQL Editor or Databricks SQL or use a notebook to write code in your preferred language.