Databricks Query


              Databricks Query

Databricks is a data and AI platform that allows users to query data in various ways. Here’s a breakdown of querying in Databricks:

Databricks Lakehouse:

  • Default Storage: Databricks primarily store data in a lakehouse, which combines the best features of data lakes and data warehouses. Data in a lakehouse is:
    • They are stored in the Delta Lake format for reliability and performance.
    • For scalability, they are stored in cloud object storage (like AWS S3 or Azure Blob Storage).
    • Unity Catalog governs it for centralized access control and security.
  • Querying Lakehouse Data: You can query lakehouse data using standard SQL syntax through Databricks notebooks, Databricks SQL, or partner tools.

External Data:

  • Querying by Path: Using file paths, you can also query structured, semi-structured, and unstructured data located in external sources. Databricks recommends configuring access to external data sources through the Unity Catalog for better security and governance.

Methods for Querying:

  • Databricks Notebooks: Interactive environments where you can write and execute code (including SQL queries) in various languages (Python, R, Scala, SQL).
  • Databricks SQL: A serverless data warehouse optimized for SQL analytics on the lakehouse.
  • Partner Tools: Databricks integrates with various BI and data visualization tools, allowing you to query and analyze data using familiar interfaces.
  • REST API, JDBC/ODBC Connectors: For programmatic access to Databricks data and querying from custom applications.

Getting Started:

  1. Create a Notebook: Start by creating a new notebook in Databricks.
  2. Connect to Compute: Choose or create a compute resource (cluster) to execute your queries.
  3. Write Your Query: Use standard SQL syntax to query your data. For example: SQL
  4. SELECT * FROM my_table WHERE column1 > 10;
  5. Execute and Visualize: Run your query and explore the results within the notebook using built-in visualizations or external tools.

Databricks Training Demo Day 1 Video:

You can find more information about Databricks Training in this Dtabricks Docs Link



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