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39 lines
1.5 KiB
Markdown
39 lines
1.5 KiB
Markdown
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---
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title: Overview
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---
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# Redshift Ingestion Guide: Overview
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## What You Will Get Out of This Guide
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This guide will help you set up the Redshift connector through the DataHub UI to begin ingesting metadata into DataHub.
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Upon completing this guide, you will have a recurring ingestion pipeline that will extract metadata from Redshift and load it into DataHub. This will include to following Redshift asset types:
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* Database
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* Schemas (External and Internal)
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* Tables (External and Internal)
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* Views
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This recurring ingestion pipeline will also extract:
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* **Usage statistics** to help you understand recent query activity
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* **Table-level lineage** (where available) to automatically define interdependencies between datasets
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* **Table- and column-level profile statistics** to help you understand the shape of the data
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:::caution
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The source currently can ingest one database with one recipe
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:::
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## Next Steps
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If that all sounds like what you're looking for, navigate to the [next page](setup.md), where we'll talk about prerequisites
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## Advanced Guides and Reference
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If you're looking to do something more in-depth, want to use CLI instead of the DataHub UI, or just need to look at the reference documentation for this connector, use these links:
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* Learn about CLI Ingestion in the [Introduction to Metadata Ingestion](../../../metadata-ingestion/README.md)
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* [Redshift Ingestion Reference Guide](https://datahubproject.io/docs/generated/ingestion/sources/redshift/#module-redshift)
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*Need more help? Join the conversation in [Slack](http://slack.datahubproject.io)!*
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