Search results
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.
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.
Learn what Databricks is, what it is used for, and what tools are available on the Databricks Data Intelligence Platform.
Reference documentation for Databricks APIs, SQL language, command-line interfaces, and more. Databricks reference docs cover tasks from automation to data queries.
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.
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.
This section provides a guide to developing notebooks and jobs in Databricks using the Python language. The first subsection provides links to tutorials for common workflows and tasks. The second subsection provides links to APIs, libraries, and key tools. A basic workflow for getting started is:
Documentation. Get started: Account and workspace setup. May 17, 2024. If you’re new to Databricks, you’ve found the place to start. This article walks you through the minimum steps required to create your account and get your first workspace up and running. For information about online training resources, see Get free Databricks training.
