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  • Databricks: Leading Data and AI Solutions for Enterprises
    Databricks offers a unified platform for data, analytics and AI Build better AI with a data-centric approach Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform
  • Databricks - Wikipedia
    Databricks, Inc is a global data, analytics, and artificial intelligence (AI) company, founded in 2013 by the original creators of Apache Spark [1][4] The company provides a cloud-based platform to help enterprises build, scale, and govern data and AI, including generative AI and other machine learning models
  • What is Databricks? | Databricks Documentation
    What is Databricks? 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 for you
  • What is Azure Databricks? - Azure Databricks | Microsoft Learn
    Azure Databricks provides tools for data ingestion, including Auto Loader, an efficient and scalable tool for incrementally and idempotently loading data from cloud object storage and data lakes into the data lakehouse
  • Explained: What is Databricks and why do we need it? - Medium
    Overall, Databricks simplifies the use of Apache Spark and provides a collaborative environment for teams to work on big data analytics projects
  • About Databricks: The data and AI company
    Headquartered in San Francisco, with offices around the world, Databricks is on a mission to simplify and democratize data and AI, helping data and AI teams solve the world’s toughest problems
  • Azure Databricks documentation | Microsoft Learn
    Learn Azure Databricks, a unified analytics platform for data analysts, data engineers, data scientists, and machine learning engineers
  • Databricks Free Edition
    Free Edition gives you an easy-to-use Databricks workspace where you can explore datasets, build and share projects, and work with AI and machine learning tools




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