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  1. docs.databricks.com › en › introductionWhat is Databricks? | Databricks on AWS

    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.

  2. www.geeksforgeeks.org › introduction-to-databricksIntroduction to Databricks - GeeksforGeeks

    • Why Databricks?
    • Use Cases of Databricks
    • Terminologies Related to Databricks

    It is commonly used for tasks such as data preparation, real-time analysis, and machine learning. Some examples of how Databricks might be used include: 1. Processing large amounts of data from multiple sources, such as web logs, sensor data, or transactional data, in order to gain insights and identify trends. 2. Building and training machine lear...

    See full list on geeksforgeeks.org

    Some common Use Cases for Databricks: 1. Data Warehousing:Databricks can be used to store and manage large amounts of data from multiple sources, and provide fast and efficient access to the data for analysis and other purposes. 2. Data Preparation:Databricks provides tools and services for cleaning, transforming, and enriching data, making it easi...

    See full list on geeksforgeeks.org

    Cluster: a set of compute resources (e.g., virtual machines or containers) that are used to execute tasks in Databricks.
    Notebook: a web-based interface for interacting with a Databricks cluster. Notebooks allow you to write and run code, as well as document your work using markdown and rich media.
    Spark: an open-source data processing engine used by Databricks to perform distributed data processing tasks.
    Delta Lake: an open-source storage layer that sits on top of cloud storage (e.g., S3 or Azure Blob Storage) and adds ACID transactions, data versioning, and time travel capabilities to Spark.

    See full list on geeksforgeeks.org

    • 1 min

  3. learn.microsoft.com › en-us › azureWhat is Azure Databricks? - Azure Databricks | Microsoft Learn

    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.

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

    Databricks is a company that provides a cloud-based platform for data, analytics and artificial intelligence, based on Apache Spark and the data lakehouse concept. It offers products such as Delta Lake, Delta Engine, Databricks SQL, and Dolly, and has acquired several startups in the AI space.

  5. medium.com › towards-data-engineering › explainedExplained: What is Databricks and why do we need it?

    May 17, 2023 · So basically, Databricks is a cloud-based platform built on Apache Spark that provides a collaborative environment for big data processing and analytics. It offers an integrated workspace where...

  6. www.databricks.comThe Data and AI Company — Databricks

    The Databricks Platform is the world’s first data intelligence platform powered by generative AI. Infuse AI into every facet of your business.

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  8. docs.databricks.com › en › getting-startedDatabricks architecture overview | Databricks on AWS

    What is Databricks? Databricks architecture overview. September 06, 2024. This article provides a high-level overview of Databricks architecture, including its enterprise architecture, in combination with AWS. In this article: High-level architecture. Serverless compute plane. Classic compute plane. Workspace storage bucket. High-level architecture

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