Data Catalog 文档
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最后更新时间 (UTC)：2025-02-01。
[[["易于理解","easyToUnderstand","thumb-up"],["解决了我的问题","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["很难理解","hardToUnderstand","thumb-down"],["信息或示例代码不正确","incorrectInformationOrSampleCode","thumb-down"],["没有我需要的信息/示例","missingTheInformationSamplesINeed","thumb-down"],["翻译问题","translationIssue","thumb-down"],["其他","otherDown","thumb-down"]],["最后更新时间 (UTC)：2025-02-01。"],[[["\u003cp\u003eData Catalog is a fully managed and scalable metadata management service within Dataplex, designed for discovering, managing, and understanding data in Google Cloud.\u003c/p\u003e\n"],["\u003cp\u003eIt features a user-friendly search interface, similar to Google Search, for efficient data discovery and a flexible system for capturing both technical and business metadata.\u003c/p\u003e\n"],["\u003cp\u003eData Catalog offers an auto-tagging capability for sensitive data using DLP API integration, enhancing data security and compliance.\u003c/p\u003e\n"],["\u003cp\u003eThe service provides resources like guides, references, pricing, release notes, and support, along with integration examples for on-premises RDBMS, Looker, and Tableau metadata.\u003c/p\u003e\n"],["\u003cp\u003eData Catalog provides documentation on how to use the product, with use cases, and code samples, along with providing use cases to integrate with 3rd party applications.\u003c/p\u003e\n"]]],[],null,["# Data Catalog documentation\n==========================\n\n[Read product documentation](/data-catalog/docs/concepts/overview) [Dataplex Universal Catalog](/dataplex/docs \"View this page for Dataplex Universal Catalog\") \\| Data Catalog (Deprecated)\nData 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:\n\n- A simple and easy to use search interface for data discovery, powered by the same Google search technology that supports Gmail and Drive.\n- A flexible and powerful cataloging system for capturing technical and business metadata.\n- An auto-tagging mechanism for sensitive data with DLP API integration.\n\n\n[Learn more](/data-catalog/docs/concepts/overview)\n[Get started for free](https://console.cloud.google.com/freetrial) \n\n#### Start your proof of concept with $300 in free credit\n\n- Get access to Gemini 2.0 Flash Thinking\n- Free monthly usage of popular products, including AI APIs and BigQuery\n- No automatic charges, no commitment \n[View free product offers](/free/docs/free-cloud-features#free-tier) \n\n#### Keep exploring with 20+ always-free products\n\n\nAccess 20+ free products for common use cases, including AI APIs, VMs, data warehouses,\nand more.\n\nDocumentation resources\n-----------------------\n\nFind quickstarts and guides, review key references, and get help with common issues. \nformat_list_numbered\n\n### Guides\n\n-\n\n [Quickstart: Tag a BigQuery table by using Data Catalog](/data-catalog/docs/tag-bigquery-dataset)\n\n-\n\n [Tags and tag templates](/data-catalog/docs/tags-and-tag-templates)\n\n-\n\n [How to search with Data Catalog](/data-catalog/docs/how-to/search)\n\n-\n\n [Creating custom entries](/data-catalog/docs/how-to/custom-entries)\n\n-\n\n [Using storage filesets](/data-catalog/docs/how-to/filesets)\n\nfind_in_page\n\n### Reference\n\n-\n\n [Search syntax](/data-catalog/docs/how-to/search-reference)\n\n-\n\n [Client libraries](/data-catalog/docs/reference/libraries)\n\n-\n\n [REST API](/data-catalog/docs/reference/rest)\n\n-\n\n [RPC API](/data-catalog/docs/reference/rpc)\n\ninfo\n\n### Resources\n\n-\n\n [Pricing](/dataplex/pricing#data-catalog-pricing)\n\n-\n\n [Release notes](/data-catalog/docs/release-notes)\n\n-\n\n [Quotas](/data-catalog/docs/resources/quotas)\n\n-\n\n [Support](/data-catalog/docs/support)\n\nRelated resources\n-----------------\n\nExplore self-paced training, use cases, reference architectures, and code samples with examples of how to use and connect Google Cloud services. Use case \nUse cases\n\n### Integrate your on-premises RDBMS metadata\n\n\nCode samples and best practices for ingesting metadata from MySQL, PostgreSQL, Teradata, Oracle, SQLServer, Redshift, Vertica, and Greenplum.\n\nOn-Prem RDMS Pattern\n\n\u003cbr /\u003e\n\n[Learn more\narrow_forward](https://medium.com/google-cloud/468e0d8220fb) \nUse case \nUse cases\n\n### Integrate metadata from Looker\n\n\nCode samples and best practices for ingesting metadata from Looker assets.\n\nData Governance Compliance Security\n\n\u003cbr /\u003e\n\n[Learn more\narrow_forward](https://medium.com/google-cloud/google-cloud-data-catalog-and-looker-integration-4ebefdef6a34) \nUse case \nUse cases\n\n### Integrate metadata from Tableau\n\n\nCode samples and best practices for ingesting metadata from Tableau assets.\n\nData Governance Compliance Security\n\n\u003cbr /\u003e\n\n[Learn more\narrow_forward](https://medium.com/google-cloud/204c1d17cc62) \nUse case \nUse cases\n\n### Principles and best practices for Data Governance in the Cloud\n\n\nThis whitepaper provides guidance and best practices for data governance as you move your data into the cloud.\n\nData Governance Compliance Security\n\n\u003cbr /\u003e\n\n[Learn more\narrow_forward](https://services.google.com/fh/files/misc/principles_best_practices_for_data-governance.pdf)\n\nRelated videos\n--------------"]]