[[["이해하기 쉬움","easyToUnderstand","thumb-up"],["문제가 해결됨","solvedMyProblem","thumb-up"],["기타","otherUp","thumb-up"]],[["이해하기 어려움","hardToUnderstand","thumb-down"],["잘못된 정보 또는 샘플 코드","incorrectInformationOrSampleCode","thumb-down"],["필요한 정보/샘플이 없음","missingTheInformationSamplesINeed","thumb-down"],["번역 문제","translationIssue","thumb-down"],["기타","otherDown","thumb-down"]],["최종 업데이트: 2025-01-16(UTC)"],[[["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."]]],[]]
