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64 lines
1.8 KiB
Markdown
64 lines
1.8 KiB
Markdown
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# Get Started With DataHub
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This section is focused on helping you get up and running with DataHub as quickly as possible.
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## Get Started with Self-Hosted DataHub
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This is a great place to start if you're new to DataHub and are interested in taking the open-source project for a spin.
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You'll learn how to:
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* Deploy DataHub on your local machine
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* Ingest sample data to get a feel for what is possible in DataHub
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* Add and invite users to DataHub
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* Troubleshoot common issues
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### Prerequisites
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Before you go further, ensure you have the following installed:
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* [Python >=3.7.0](https://www.python.org/downloads/)
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* [Docker](https://docs.docker.com/get-docker/)
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* [jq](https://stedolan.github.io/jq/download/)
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* [Docker Compose](https://github.com/docker/compose/blob/master/INSTALL.md) - if using Linux
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:::note
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Make sure to allocate enough hardware resources for Docker!
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We recommend the following configuration: 2 CPUs, 8GB RAM, 2GB Swap area, and 10GB disk space.
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:::
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<p>
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<a
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className='button button--primary button--lg'
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href="quickstart">
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Get Started with Self-Hosted DataHub
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</a>
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</p>
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## Get Started with Managed DataHub
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[Acryl Data](https://www.acryldata.io/product) provides a fully managed, premium version of DataHub.
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In this section, you'll learn how to:
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* Add and invite users to DataHub
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* Configure Slack notifications
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* Understand Approval Workflows
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### Prerequisites
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Before you go further, you'll need to have a DataHub instance provisioned. The Acryl Integrations Team will provide you with the following once it has been deployed:
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* The URL for your Acryl instance, i.e. `https://<your-domain-name>.acryl.io`
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* Admin account credentials for logging into the DataHub UI
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<p>
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<a
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className='button button--primary button--lg'
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href="authentication/guides/add-users">
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Get Started with Managed DataHub
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</a>
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</p>
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