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  1. SQL language reference - Databricks on AWS

    Learn about the SQL language constructs supported in Databricks SQL.

  2. Databricks SQL concepts - Azure Databricks - Databricks SQL

    May 23, 2025 · This article introduces the set of fundamental concepts you need to understand in order to use Databricks SQL effectively. This section describes the interfaces that Azure …

  3. Databricks SQL: A Full Guide to Scalable SQL Workloads

    Feb 24, 2025 · In this article, I will explore the components, features, and tools of Databricks SQL and show practical examples of creating and using Databricks SQL warehouse.

  4. Data Warehousing with Databricks SQL | Databricks

    Build SQL queries with Databricks Assistant, connect to participating apps, tools, clients, SDKs and APIs, and use built-in functions for AI and geospatial. Empower data analysts and …

  5. SQL scripting - Azure Databricks - Databricks SQL | Microsoft Learn

    Jul 21, 2025 · Learn about SQL Scripting in the SQL language constructs supported in Databricks Runtime.

  6. Data warehousing on Databricks | Databricks on AWS

    Learn about building a data warehousing solution on the Databricks platform using Databricks SQL.

  7. Databricks - Wikipedia

    Databricks, Inc. is a San Francisco -based software company. [4] It was founded in 2013 by the original creators of Apache Spark. [1][5] It offers a cloud-based platform for data analytics and …

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  8. Databricks SQL Data Transformation: The Complete Guide

    3 days ago · Understanding Databricks SQL’s data transformation ecosystem Databricks SQL operates as a key component of the Databricks Data Intelligence Platform, built on lakehouse …

  9. SQL language reference - Azure Databricks - Databricks SQL

    Oct 8, 2025 · Learn about the SQL language constructs supported in Databricks SQL.

  10. Get started with data warehousing using Databricks SQL | Databricks

    Get started with Databricks SQL for data warehousing, from basic concepts to advanced usage with BI tools, dashboards, and SQL warehouses.