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Databricks documentation provides how-to guidance and reference information for data analysts, data scientists, and data engineers solving problems in analytics and AI. The Databricks Data Intelligence Platform enables data teams to collaborate on data stored in the lakehouse.
This documentation site provides getting started guidance, how-to guidance, and reference information for Databricks on Google Cloud. Read all the documentation for Databricks on Azure, AWS and Google Cloud.
What is Databricks? Databricks architecture overview. July 22, 2024. This article provides a high-level overview of Databricks architecture, including its enterprise architecture, in combination with AWS. In this article: High-level architecture. Serverless compute plane. Classic compute plane. Workspace storage bucket. High-level architecture.
Learn what Databricks is, what it is used for, and what tools are available on the Databricks Data Intelligence Platform.
PySpark on Databricks. Databricks is built on top of Apache Spark, a unified analytics engine for big data and machine learning. PySpark helps you interface with Apache Spark using the Python programming language, which is a flexible language that is easy to learn, implement, and maintain.
The data engineering documentation provides how-to guidance to help you get the most out of the Databricks collaborative analytics platform. For getting started tutorials and introductory information, see Get started: Account and workspace setup and What is Databricks?.
The Databricks technical documentation site provides how-to guidance and reference information for the Databricks data science and engineering, Databricks machine learning and Databricks SQL persona-based environments.
May 03, 2024. This article provides a hands-on walkthrough that demonstrates how to apply software engineering best practices to your Databricks notebooks, including version control, code sharing, testing, and optionally continuous integration and continuous delivery or deployment (CI/CD).
Reference documentation for Databricks APIs, SQL language, command-line interfaces, and more. Databricks reference docs cover tasks from automation to data queries.
This article provides a reference of best practice articles you can use to optimize your Databricks activity. The Databricks documentation includes a number of best practices articles to help you get the best performance at the lowest cost when using and administering Databricks.
