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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
  • Introducing Databricks One
    Introducing Databricks One: a new, simplified experience that gives business users secure, AI-powered access to data, dashboards, and apps—at scale
  • Introduction to Databricks - GeeksforGeeks
    Databricks is a cloud-based platform for managing and analyzing large datasets using the Apache Spark open-source big data processing engine It offers a unified workspace for data scientists, engineers, and business analysts to collaborate, develop, and deploy data-driven applications
  • 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
  • Databricks: 2025 CNBC Disruptor 50
    Databricks is one of the fastest-growing software companies in the world as enterprise clients turn to its products to help generate insights from AI
  • Databricks components | Databricks Documentation
    Learn fundamental Databricks components such as workspaces, data objects, clusters, machine learning models, and access




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