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  1. Databricks is the data and AI company. With origins in academia and the open source community, Databricks was founded in 2013 by the original creators of Apache Spark™, Delta Lake and MLflow. As the world’s first and only lakehouse platform in the cloud, Databricks combines the best of data warehouses and data lakes to offer an open and ...

  2. Join the Databricks Community Edition and access free cloud-based services for data engineering, data science, and SQL analytics.

  3. Azure Databricks is a fully managed first-party service that enables an open data lakehouse in Azure. With a lakehouse built on top of an open data lake, quickly light up a variety of analytical workloads while allowing for common governance across your entire data estate. Enable key use cases including data science, data engineering, machine ...

  4. Azure Databricks is a fast, easy, and collaborative Apache® Spark™ based analytics platform with one-click setup, streamlined workflows, and the scalability and security of Microsoft Azure. Rather than describe what Azure Databricks does, we’re going to actually show you: in this e-book, you’ll find three scenarios where Azure Databricks

  5. Apache Spark™. Apache Spark is a lightning-fast unified analytics engine for big data and machine learning. It was originally developed at UC Berkeley in 2009. The largest open source project in data processing. Since its release, Apache Spark, the unified analytics engine, has seen rapid adoption by enterprises across a wide range of industries.

  6. The Databricks Data Intelligence Platform is built on lakehouse architecture, which combines the best elements of data lakes and data warehouses to help you reduce costs and deliver on your data and AI initiatives faster. Built on open source and open standards, a lakehouse simplifies your data estate by eliminating the silos that historically ...

  7. Databricks documentation. June 27, 2024. Databricks documentation provides how-to guidance and reference information for data analysts, data scientists, and data engineers solving problems in analytics and AI. The Databricks Data Intelligence Platform enables data teams to collaborate on data stored in the lakehouse. See What is a data lakehouse?.

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