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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.
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.
Learn Azure Databricks, a unified analytics platform for data analysts, data engineers, data scientists, and machine learning engineers.
Learn what Databricks is, what it is used for, and what tools are available on the Databricks Data Intelligence Platform.
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.
Reference documentation for Databricks APIs, SQL language, command-line interfaces, and more. Databricks reference docs cover tasks from automation to data queries.
What is Databricks? Databricks architecture overview. April 11, 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. High-level architecture.
How-to guidance and reference information for data analysts, data scientists, and data engineers working in the Databricks Data Science & Engineering, Databricks Machine Learning, and Databricks SQL environments.
Spark SQL — PySpark master documentation. Spark SQL ¶. This page gives an overview of all public Spark SQL API. Core Classes. pyspark.sql.SparkSession. pyspark.sql.Catalog. pyspark.sql.DataFrame. pyspark.sql.Column. pyspark.sql.Observation. pyspark.sql.Row. pyspark.sql.GroupedData. pyspark.sql.PandasCogroupedOps. pyspark.sql.DataFrameNaFunctions.
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?.
