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color: transparent;
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animation: gradientShift 3s ease infinite;
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0%, 100% { background-position: 0% 50%; }
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The figure below describes all the options possible for connecting your favorite system to DataHub.</p><p align="center"><img loading="lazy" width="70%" src="https://raw.githubusercontent.com/datahub-project/static-assets/main/imgs/ingestion-architecture.png" class="img_ev3q"></p><h2 class="anchor anchorWithStickyNavbar_LWe7" id="metadata-change-proposal-the-center-piece">Metadata Change Proposal: The Center Piece<a href="#metadata-change-proposal-the-center-piece" class="hash-link" aria-label="Direct link to Metadata Change Proposal: The Center Piece" title="Direct link to Metadata Change Proposal: The Center Piece"></a></h2><p>The center piece for ingestion are <a href="/docs/what/mxe#metadata-change-proposal-mcp">Metadata Change Proposal</a>s which represent requests to make a metadata change to an organization's Metadata Graph.
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Metadata Change Proposals can be sent over Kafka, for highly scalable async publishing from source systems. They can also be sent directly to the HTTP endpoint exposed by the DataHub service tier to get synchronous success / failure responses.</p><h2 class="anchor anchorWithStickyNavbar_LWe7" id="pull-based-integration">Pull-based Integration<a href="#pull-based-integration" class="hash-link" aria-label="Direct link to Pull-based Integration" title="Direct link to Pull-based Integration"></a></h2><p>DataHub ships with a Python based <a href="/docs/metadata-ingestion">metadata-ingestion system</a> that can connect to different sources to pull metadata from them. This metadata is then pushed via Kafka or HTTP to the DataHub storage tier. Metadata ingestion pipelines can be <a href="/docs/metadata-ingestion#lineage-with-airflow">integrated with Airflow</a> to set up scheduled ingestion or capture lineage. If you don't find a source already supported, it is very easy to <a href="/docs/metadata-ingestion#contributing">write your own</a>.</p><h2 class="anchor anchorWithStickyNavbar_LWe7" id="push-based-integration">Push-based Integration<a href="#push-based-integration" class="hash-link" aria-label="Direct link to Push-based Integration" title="Direct link to Push-based Integration"></a></h2><p>As long as you can emit a <a href="/docs/what/mxe#metadata-change-proposal-mcp">Metadata Change Proposal (MCP)</a> event to Kafka or make a REST call over HTTP, you can integrate any system with DataHub. For convenience, DataHub also provides simple <a href="/docs/metadata-ingestion#using-as-a-library">Python emitters</a> for you to integrate into your systems to emit metadata changes (MCP-s) at the point of origin.</p><h2 class="anchor anchorWithStickyNavbar_LWe7" id="internal-components">Internal Components<a href="#internal-components" class="hash-link" aria-label="Direct link to Internal Components" title="Direct link to Internal Components"></a></h2><h3 class="anchor anchorWithStickyNavbar_LWe7" id="applying-metadata-change-proposals-to-datahub-metadata-service-mce-consumer-job">Applying Metadata Change Proposals to DataHub Metadata Service (mce-consumer-job)<a href="#applying-metadata-change-proposals-to-datahub-metadata-service-mce-consumer-job" class="hash-link" aria-label="Direct link to Applying Metadata Change Proposals to DataHub Metadata Service (mce-consumer-job)" title="Direct link to Applying Metadata Change Proposals to DataHub Metadata Service (mce-consumer-job)"></a></h3><p>DataHub comes with a Spring job, <a href="https://github.com/datahub-project/datahub/blob/master/metadata-jobs/mce-consumer-job" target="_blank" rel="noopener noreferrer">mce-consumer-job</a>, which consumes the Metadata Change Proposals and writes them into the DataHub Metadata Service (datahub-gms) using the <code>/ingest</code> endpoint.</p></div><footer class="theme-doc-footer docusaurus-mt-lg"><div class="slackUtm_uoBr"><div class="slackUtm_uoBr"><hr>Need more help? Join the conversation in <a href="https://datahub.com/slack?utm_source=docs&utm_medium=footer&utm_campaign=docs_footer&utm_content=docs/architecture/metadata-ingestion">Slack!</a></div></div><div class="theme-doc-footer-edit-meta-row row"><div class="col"><a href="https://github.com/datahub-project/datahub/blob/master/docs/architecture/metadata-ingestion.md" target="_blank" rel="noreferrer noopener" class="theme-edit-this-page"><svg fill="currentColor" height="20" width="20" viewBox="0 0 40 40" class="iconEdit_Z9Sw" aria-hidden="true"><g><path d="m34.5 11.7l-3 3.1-6.3-6.3 3.1-3q0.5-0.5 1.2-0.5t1.1 0.5l3.9 3.9q0.5 0.4 0.5 1.1t-0.5 1.2z m-29.5 17.1l18.4-18.5 6.3 6.3-18.4 18.4h-6.3v-6.2z"></path></g></svg>Edit this page</a></div><div class="col lastUpdated_VsjB"></div></div></footer><div class="feedbackWrapper_mUHF"><div class="feedbackWidget_PX4d"><div class="feedbackButtons_wn3V"><strong>Is this page helpful?</strong><div><button class="feedbackButton_UgQs"><span role="img" aria-label="like" class="anticon anticon-like"><svg viewBox="64 64 896 896" focu
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