Entri terdapat dalam grup entri. Grup entri adalah kumpulan entri yang terkait secara logis bersama dengan kebijakan Identity and Access Management yang menentukan pengguna yang dapat membuat, mengedit, dan melihat entri dalam grup entri.
Data Catalog secara otomatis membuat grup entri untuk resource Google Cloud, seperti topik BigQuery (@bigquery) dan Pub/Sub (@pubsub).
Grup entri BigQuery dan Pub/Sub bersifat unik
karena Anda tidak dapat menjalankan fungsi API yang biasanya berfungsi pada grup entri kustom. Beberapa
contoh fungsi tersebut adalah mengambil daftar grup entri dalam project,
mengambil informasi dasar tentang grup entri, dan membuat atau menghapus
tag.
Anda dapat membuat grup entri sendiri untuk memuat
entri set file Cloud Storage dan kebijakan IAM
yang terkait dengan entri tersebut. Untuk mengetahui informasi selengkapnya, lihat Menampilkan file dari Cloud Storage dengan entri set file.
Grup entri, mirip dengan entri, dapat ditelusuri.
Memetakan aset data ke entri dan grup entri
Lihat tabel berikut untuk melihat cara Data Catalog memetakan aset data dari berbagai produk Google Cloud .
[[["Mudah dipahami","easyToUnderstand","thumb-up"],["Memecahkan masalah saya","solvedMyProblem","thumb-up"],["Lainnya","otherUp","thumb-up"]],[["Sulit dipahami","hardToUnderstand","thumb-down"],["Informasi atau kode contoh salah","incorrectInformationOrSampleCode","thumb-down"],["Informasi/contoh yang saya butuhkan tidak ada","missingTheInformationSamplesINeed","thumb-down"],["Masalah terjemahan","translationIssue","thumb-down"],["Lainnya","otherDown","thumb-down"]],["Terakhir diperbarui pada 2025-02-01 UTC."],[[["\u003cp\u003eData Catalog uses entries to represent data resources, including Google Cloud resources like BigQuery datasets and custom resources with custom data types.\u003c/p\u003e\n"],["\u003cp\u003eEntry 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.\u003c/p\u003e\n"],["\u003cp\u003eData 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.\u003c/p\u003e\n"],["\u003cp\u003eYou are able to create custom entry groups for fileset entries, such as those from cloud storage and map them to specific IAM policies.\u003c/p\u003e\n"],["\u003cp\u003eDataproc Metastore, Dataplex, Pub/Sub, Bigtable, BigQuery, and Vertex AI all map various data assets to entries and entry groups within the Data Catalog system.\u003c/p\u003e\n"]]],[],null,["# Entries and entry groups are key concepts in Data Catalog.\n\nThe following illustration depicts how entries and entry groups fit in the\nData Catalog data model.\n**Figure 1.** Entry groups organize different data sources and assets.\n\nEntries\n-------\n\nData Catalog entries represent data resources:\n\n- Google Cloud resources, such as a BigQuery dataset or table, Pub/Sub topic, for example.\n- Custom resources with custom data types.\n\nYou can create, search, and manage your entries. For more information, see\n[Create custom Data Catalog entries for your data sources](/data-catalog/docs/how-to/custom-entries).\n\nEntry groups\n------------\n\nEntries are contained in an entry group. An entry group is a set of logically\nrelated entries together with [Identity and Access Management](/iam/docs) policies that\nspecify the users who can create, edit, and view entries within an entry group.\n\nData Catalog automatically creates entry groups for Google Cloud\nresources, such as BigQuery (`@bigquery`) and Pub/Sub\ntopics (`@pubsub`).\n\nThe BigQuery and Pub/Sub entry groups are unique\nbecause you cannot run API functions that typically work on custom entry groups. Some\nexamples of such functions are retrieving the list of entry groups in a project,\nretrieving basic information about an entry group, and creating or deleting a\ntag.\n\nYou can create your own entry group to contain your\nCloud Storage fileset entries and the IAM policies\nassociated with those entries. For more information, see\n[Surface files from Cloud Storage with fileset entries](/data-catalog/docs/how-to/filesets).\n\nEntry groups, similar to entries, are searchable.\n\nMap data assets to entries and entry groups\n-------------------------------------------\n\nRefer to the following tables to see how Data Catalog maps data\nassets from different Google Cloud products."]]
