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Co-authored-by: MohdSiddiqueBagwan <mohdsiddique.bagwan@gslab.com> Co-authored-by: John Joyce <john@acryl.io>
38 lines
1.2 KiB
Markdown
38 lines
1.2 KiB
Markdown
---
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title: Overview
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---
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# Tableau 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 Tableau connector 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 Tableau and load it into DataHub. This will include to following Tableau asset types:
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* Dashboards
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* Sheets
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* Embedded DataSource
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* Published DataSource
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* Custom SQL Table
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* Embedded or External Tables
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* User
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* Workbook
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* Tag
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The pipeline will also extract:
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* **Usage statistics** help you understand top viewed Dashboard/Chart
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* **Table- and Column-level lineage** automatically index relationships between datasets and columns
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## Next Steps
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Continue to the [setup guide](setup.md), where we'll describe the prerequisites.
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## Advanced Guides and Reference
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If you want to ingest metadata from Tableau using the DataHub CLI, check out the following resources:
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* Learn about CLI Ingestion in the [Introduction to Metadata Ingestion](../../../metadata-ingestion/README.md)
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* [Tableau Ingestion Source](https://datahubproject.io/docs/generated/ingestion/sources/tableau)
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*Need more help? Join the conversation in [Slack](http://slack.datahubproject.io)!* |