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Azure Databricks documentation. Learn Azure Databricks, a unified analytics platform for data analysts, data engineers, data scientists, and machine learning engineers. About Azure Databricks. Overview. What is Azure Databricks? Concept. What is the lakehouse? What is Delta? Databricks service architecture. Data lakehouse architecture. Start here.
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.
May 22, 2024 · Azure Databricks is a unified, open analytics platform for building, deploying, sharing, and maintaining enterprise-grade data, analytics, and AI solutions at scale. The Databricks Data Intelligence Platform integrates with cloud storage and security in your cloud account, and manages and deploys cloud infrastructure on your behalf.
May 29, 2024 · Reference documentation for Azure Databricks APIs, SQL language, command-line interfaces, and more. Azure Databricks reference docs cover tasks from automation to data queries.
Read Azure Databricks documentation. Boost productivity with a shared workspace and common languages. Collaborate effectively on an open and unified platform to run all types of analytics workloads, whether you are a data scientist, data engineer, or a business analyst. Build with your choice of language, including Python, Scala, R, and SQL.
Jun 18, 2024 · In this article. Get coding help from Databricks Assistant. Access notebook for editing. Browse data. Keyboard shortcuts. Show 12 more. This page describes how to develop code in Databricks notebooks, including autocomplete, automatic formatting for Python and SQL, combining Python and SQL in a notebook, and tracking the notebook version history.
Explore Azure Databricks, a fully managed Azure service that enables an open data lakehouse architecture in Azure. Use Apache Spark-based analytics and AI across your entire data estate.
Azure Databricks is optimized for Azure and tightly integrated with Azure Data Lake Storage, Azure Data Factory, Azure Synapse Analytics, Power BI and other Azure services to store all your data on a simple, open lakehouse and unify all your analytics and AI workloads.
This reference contains information about the Azure Databricks application programming interfaces (APIs). Each API reference page is presented primarily from a representational state transfer (REST) perspective. Azure Databricks REST API calls typically include the following components:
How to analyze user interface performance issues. Learn how to troubleshoot Databricks user interface performance issues.... Last updated: December 20th, 2023 by Adam Pavlacka. Unable to mount Azure Data Lake Storage Gen1 account. Learn how to resolve errors that occur when mounting Azure Data Lake Storage Gen1 to Databricks....
