This page gives an overview of all public Spark SQL API.

Nov 6, 2025 · Apache Spark is the technology powering compute clusters and SQL warehouses in Azure Databricks. This page provides an overview of the documentation in this section.

Spark SQL is a Spark module for structured data processing. It provides a programming abstraction called DataFrames and can also act as a distributed SQL query engine. It enables unmodified …

Mar 13, 2025 · Over time, I realized that choosing between Spark SQL and PySpark for different operations can make a huge difference in performance. In this article, I’ll break down a real …

This tutorial will familiarize you with essential Spark capabilities to deal with structured data typically often obtained from databases or flat files. We will explore typical ways of querying and aggregating …

Querying Tables Defined in Your Pipeline Using Multiple Flows to Write to a Single Target Important Considerations Python Considerations SQL Considerations What is Spark Declarative Pipelines …

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 artificial …

Nov 19, 2025 · With Spark DataFrames, you can efficiently read, write, transform, and analyze data using Python and SQL, which means you are always leveraging the full power of Spark.

Jun 11, 2025 · With Apache Spark Declarative Pipelines, engineers describe what their pipeline should do using SQL or Python, and Apache Spark handles the execution.

Sep 18, 2025 · When you deploy a compute cluster or SQL warehouse on Azure Databricks, Apache Spark is configured and deployed to virtual machines. You don't need to configure or initialize a …