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  1. The Databricks Data Intelligence Platform integrates with your current tools for ETL, data ingestion, business intelligence, AI and governance. Adopt what’s next without throwing away what works.

  2. 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.

  3. Explore Databricks resources for data and AI, including training, certification, events, and community support to enhance your skills.

  4. en.wikipedia.org › wiki › DatabricksDatabricks - Wikipedia

    Databricks, Inc. is a global data, analytics and artificial intelligence company founded by the original creators of Apache Spark. [3] 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.

  5. 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.

  6. Try Databricks free. Test-drive the full Databricks platform free for 14 days on your choice of AWS, Microsoft Azure or Google Cloud. Sign-up with your work email to elevate your trial experience.

  7. Sign In to Databricks Community Edition. Forgot Password?

  8. AI and Machine Learning on Databricks, an integrated environment to simplify and standardize ML, DL, LLM, and AI development. Tutorials and user guides for common tasks and scenarios.

  9. Databricks Community is an open-source platform for data enthusiasts and professionals to discuss, share insights, and collaborate on everything

  10. Learn fundamental Databricks concepts such as workspaces, data objects, clusters, machine learning models, and access.

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