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  2. This guide provides instructions on deploying the open source DataHub locally. If you're interested in a managed version, Acryl Data provides a fully managed, premium version of DataHub. Get Started with DataHub Cloud.

  3. DataHub Quickstart Guide | DataHub - GitHub Pages

    yoonhyejin.github.io/datahub-project-forked/docs/quickstart

    If you have been testing DataHub locally, a new version of DataHub got released and you want to try the new version then you can just issue the quickstart command again. It will pull down newer images and restart your instance without losing any data.

  4. QuickStart Tutorial for Data Hub 5.x - docs.marklogic.com

    docs.marklogic.com/datahub/5.0/tutorials/tutorial-5x-quickstart.html

    Overview. In this tutorial, you will integrate data from two data sources with different field names. To do so, you will: define an entity model to standardize the data structure, and. assemble multiple flows with various steps to do the following: ingest the data from the two different source datasets ( ingestion step),

  5. QuickStart - docs.marklogic.com

    docs.marklogic.com/datahub/5.5/tools/about-quickstart.html

    QuickStart is the Data Hub graphical user interface that makes it easy to create and manage flows and steps to process your data. QuickStart can be used if your project files are available locally.

  6. datahub/docs/quickstart.md at master - GitHub

    github.com/datahub-project/datahub/blob/master/docs/quickstart.md

    DataHub Quickstart Guide. :::tip DataHub Cloud. This guide provides instructions on deploying the open source DataHub locally. If you're interested in a managed version, Acryl Data provides a fully managed, premium version of DataHub. Get Started with DataHub Cloud. ::: Prerequisites. Install Docker and Docker Compose v2 for your platform.

  7. How to Start with DataHub: A Quickstart Guide for Beginners

    forum.datahubproject.io/t/how-to-start-with-datahub-a-quickstart-guide-for...

    Hi, if you’re first time with DataHub, we have a quickstart guide for you which you can start your own datahub instance in minutes. https://datahubproject.io/docs/quickstart/

  8. Introduction | DataHub - datahubproject.io

    datahubproject.io/docs/introduction

    Quickstart. Please follow the DataHub Quickstart Guide to get a copy of DataHub up & running locally using Docker. As the guide assumes some basic knowledge of Docker, we'd recommend you to go through the "Hello World" example of A Docker Tutorial for Beginners if Docker is completely foreign to you.

  9. Create a Project Using QuickStart - docs.marklogic.com

    docs.marklogic.com/datahub/5.5/projects/create-project-using-quickstart.html

    QuickStart is the easiest way to use MarkLogic Data Hub. In this task, you will download and run the QuickStart .war file to do the following: Set up the local directories and files required for your project. Deploy the required Data Hub components to your MarkLogic Server. Important: QuickStart is not supported for production use. Procedure.

  10. Quickstart with DataHub →. Learn about DataHub Cloud →. Key Features. Data Discovery → Search your entire data ecosystem, including dashboards, datasets, ML models, and raw files. Data Governance → Define ownership and track PII.

  11. The MarkLogic Data Hub is an open-source software interface that works to ingest data from multiple sources, harmonize that data, master it, and then search and analyze it. It runs on MarkLogic Server, and together, they provide a unified platform for mission-critical use cases.