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52 lines
2.0 KiB
Markdown
52 lines
2.0 KiB
Markdown
---
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title: Ingestion Framework Deployment
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slug: /deployment/ingestion
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---
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# Ingestion Framework Deployment
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The Ingestion Framework is the module that takes care of bringing metadata in to OpenMetadata. It is used
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for any type of workflow that is supported in the platform: Metadata, Lineage, Usage, Profiler, Data Quality,...
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## Manage & Schedule the Ingestion Framework
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In this guide, we will present the different alternatives to run and manage your ingestion workflows. There are mainly
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2 ways of running the ingestion:
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1. Internally, by managing the workflows from OpenMetadata.
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2. Externally, by using any other tool capable of running Python code.
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Note that the end result is going to be the same. The only difference is that running the workflows internally,
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OpenMetadata will dynamically generate the processes that will perform the metadata extraction. If configuring
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the ingestion externally, you will be managing this processes directly on your platform of choice.
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## Option 1 - From OpenMetadata
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If you want to learn how to configure your setup to run them from OpenMetadata, follow this guide:
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{% inlineCalloutContainer %}
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{% inlineCallout
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color="violet-70"
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icon="10k"
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bold="OpenMetadata UI"
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href="/deployment/ingestion/openmetadata" %}
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Deploy, configure and manage the ingestion workflows directly from the OpenMetadata UI.
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{% /inlineCallout %}
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{% /inlineCalloutContainer %}
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## Option 2 - Externally
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Any tool capable of running Python code can be used to configure the metadata extraction from your sources.
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In this section, we are going to give you some background on how the Ingestion Framework works, how to configure
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the metadata extraction, and some examples on how to host the ingestion in different platforms.
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{% inlineCalloutContainer %}
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{% inlineCallout
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color="violet-70"
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icon="10k"
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bold="External Ingestion"
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href="/deployment/ingestion/external" %}
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Manage the Ingestion Framework from anywhere!
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{% /inlineCallout %}
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{% /inlineCalloutContainer %}
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