[[["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。"],[[["Data Catalog uses entries to represent data resources, including Google Cloud resources like BigQuery datasets and custom resources with custom data types."],["Entry groups are containers for logically related entries and their associated Identity and Access Management policies, determining who can create, edit, and view entries within them."],["Data Catalog automatically creates entry groups for Google Cloud resources, such as BigQuery and Pub/Sub, which have unique constraints where typical API functions do not apply."],["You are able to create custom entry groups for fileset entries, such as those from cloud storage and map them to specific IAM policies."],["Dataproc Metastore, Dataplex, Pub/Sub, Bigtable, BigQuery, and Vertex AI all map various data assets to entries and entry groups within the Data Catalog system."]]],[]]
