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Data Catalog documentation

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Data Catalog is a fully managed and scalable metadata management service. Data Catalog allows organizations to quickly discover, manage and understand all their data in Google Cloud. It offers:
  • A simple and easy to use search interface for data discovery, powered by the same Google search technology that supports Gmail and Drive.
  • A flexible and powerful cataloging system for capturing technical and business metadata.
  • An auto-tagging mechanism for sensitive data with DLP API integration.

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  • Get free usage of 20+ popular products, including Compute Engine and AI APIs.
  • No automatic charges, no commitment.
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Explore self-paced training, use cases, reference architectures, and code samples with examples of how to use and connect Google Cloud services.
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Code samples and best practices for ingesting metadata from MySQL, PostgreSQL, Teradata, Oracle, SQLServer, Redshift, Vertica, and Greenplum.

On-Prem RDMS Pattern

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Code samples and best practices for ingesting metadata from Looker assets.

Data Governance Compliance Security

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Code samples and best practices for ingesting metadata from Tableau assets.

Data Governance Compliance Security

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This whitepaper provides guidance and best practices for data governance as you move your data into the cloud.

Data Governance Compliance Security

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Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.

Last updated 2026-08-11 UTC.

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