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39 lines
1.9 KiB
Markdown
39 lines
1.9 KiB
Markdown
---
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title: Overview
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---
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# BigQuery 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 BigQuery 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 BigQuery and load it into DataHub. This will include to following BigQuery asset types:
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- [Projects](https://cloud.google.com/bigquery/docs/resource-hierarchy#projects)
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- [Datasets](https://cloud.google.com/bigquery/docs/datasets-intro)
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- [Tables](https://cloud.google.com/bigquery/docs/tables-intro)
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- [Views](https://cloud.google.com/bigquery/docs/views-intro)
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- [Materialized Views](https://cloud.google.com/bigquery/docs/materialized-views-intro)
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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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You will NOT have extracted [Routines](https://cloud.google.com/bigquery/docs/routines), [Search Indexes](https://cloud.google.com/bigquery/docs/search-intro) from BigQuery, as the connector does not support ingesting these assets
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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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- [BigQuery Ingestion Reference Guide](https://docs.datahub.com/docs/generated/ingestion/sources/bigquery/#module-bigquery)
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