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  1. Databricks is a company that offers a platform for data and AI solutions, including data lakehouse, data sharing, ETL, and generative AI applications. Learn how Databricks can help you unify your data, democratize insights, and drive down costs with its products and integrations.

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      Databricks documentation. Databricks documentation provides...

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      Try Databricks free . Test-drive the full Databricks...

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      Explore Databricks resources for data and AI, including...

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      With Databricks, your data is always under your control,...

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      Databricks Solution Accelerators are purpose-built guides —...

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      Adobe is using the Databricks Data Intelligence Platform to...

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      Databricks has over 1200+ partners globally that provide...

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  3. Databricks is a platform for building, deploying, sharing, and maintaining data, analytics, and AI solutions at scale. It integrates with cloud storage and security in your AWS account, and uses generative AI, natural language processing, and open source tools to optimize performance and manage infrastructure.

  4. Explore Databricks Lakehouse Platform, a unified platform for data science, engineering and machine learning. Find training, certification, documentation, events, community and more.

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  5. 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. [4]

  6. Azure Databricks is a cloud service that provides an optimized Apache Spark environment for data engineering, data science, and machine learning. Learn how to use Azure Databricks with Azure services, open source libraries, and popular frameworks to build and deploy AI solutions.

  7. May 22, 2024 · Azure Databricks is a cloud service that lets you build, deploy, and maintain data, analytics, and AI solutions at scale. Learn how it works with Azure, integrates with open source, and supports data lakehouse, ETL, ML, AI, and BI use cases.

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