Build and operate the data processing systems behind analytics and ML on Google Cloud, including BigQuery, Dataflow, and Pub/Sub, and track your readiness for the Professional Data Engineer exam.
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Google Cloud service
Data Catalog
Topic in 2 exam domains
- Data Catalog · Service
- Data Catalog · Feature
Also called: Data Catalog API, DataCatalog
A fully managed, scalable metadata management service in Google Cloud that can tag profiled tables based on profile insights.
Where this appears on the exam
2 objectives in 1 of 5 domains
Related topics
FoundationsBuilding blocksThis topicWorks alongsideAppliedDataplexServiceApplication Default CredentialsFeatureVPC Service ControlsServiceKnowledge CatalogServiceSensitive Data ProtectionServiceBigtableServiceSpannerServiceBigQueryServiceCloud StorageServicePub/SubServiceDataflowServiceCloud MonitoringService
Data CatalogService
Cloud RunServicepolicy tagsFeatureIdentity and Access ManagementServiceCloud SQLServiceCloud LoggingServicedynamic data maskingFeaturePoints to what builds on itWorks with or alternative toHover or tap a line to see what connects the two
- Data Catalog depends on Application Default Credentials From the official documentation: “To authenticate to Data Catalog, set up Application Default Credentials.”
- Application Default Credentials works with Data Catalog From the official documentation: “To authenticate to Data Catalog, set up Application Default Credentials.”
- Data Catalog is an alternative to Knowledge Catalog From the official documentation: “Use Knowledge Catalog for all new projects to take advantage of AI-powered features and enhanced governance.”
- Data Catalog is part of Knowledge Catalog From the official documentation: “Knowledge Catalog features”
- BigQuery works with Data Catalog From the official documentation: “The instructions in this page use both BigQuery and Data Catalog.”
- Data Catalog is part of Dataplex From the official documentation: “Data Catalog, a Dataplex feature that catalogs metadata from these resources.”
- Data Catalog works with Sensitive Data Protection From the official documentation: “Send job results to Data Catalog. This feature is [deprecated](/sensitive-data-protection/docs/deprecations).”
- Bigtable works with Data Catalog From the official documentation: “Knowledge Catalog and Data Catalog (deprecated) automatically catalog metadata about Bigtable resources.”
- Cloud Storage works with Data Catalog From the official documentation: “Data Catalog supports the definition of Cloud Storage file entries and their schema.”
- Data Catalog works with policy tags From the official documentation: “You can move a policy tag only through the Data Catalog `PolicyTagManager.UpdatePolicyTag` method.”
- Data Catalog works with Pub/Sub From the official documentation: “Pub/Sub topics are automatically registered with the Data Catalog.”
- Data Catalog works with Spanner From the official documentation: “This page explains how you can search for and manage your Spanner resources by using Data Catalog.”
- Data Catalog works with VPC Service Controls From the official documentation: “The Data Catalog integration with VPC Service Controls has no known limitations.”
- dynamic data masking depends on Data Catalog From the official documentation: “The Data Catalog API (`datacatalog.googleapis.com`) must remain enabled in projects that use BigQuery column-level access control or dynamic data masking.”
- Application Default Credentials works with Cloud Storage From the official documentation: “To authenticate to Cloud Storage, set up Application Default Credentials.”
- Sensitive Data Protection depends on Application Default Credentials From the official documentation: “To authenticate to Sensitive Data Protection, set up Application Default Credentials.”
- Application Default Credentials secures BigQuery From the official documentation: “To authenticate to BigQuery, set up Application Default Credentials.”
- BigQuery depends on Application Default Credentials From the official documentation: “To authenticate to BigQuery, set up Application Default Credentials.”
- BigQuery works with Sensitive Data Protection From the official documentation: “Uses the Data Loss Prevention API to analyze BigQuery data.”
- Dataflow depends on Application Default Credentials From the official documentation: “To authenticate to Dataflow, set up Application Default Credentials.”
- Application Default Credentials works with Pub/Sub From the official documentation: “To authenticate to Pub/Sub, set up Application Default Credentials.”
- BigQuery is an alternative to Cloud Storage From the official documentation: “The `import_result_sink` must be a Cloud Storage path or a BigQuery table.”
- BigQuery works with Cloud Logging From the official documentation: “BigQuery utilizes Cloud Logging for some of your log data.”
- BigQuery works with Cloud Storage From the official documentation: “External BigQuery data source backed by Cloud Storage”
- Application Default Credentials works with BigQuery From the official documentation: “Create a BigQuery client using application default credentials.”
- Application Default Credentials secures Pub/Sub From the official documentation: “To authenticate to Pub/Sub, set up Application Default Credentials.”
- Pub/Sub depends on Application Default Credentials From the official documentation: “To authenticate to Pub/Sub, set up Application Default Credentials.”
- Application Default Credentials works with Bigtable From the official documentation: “To authenticate to Bigtable, set up Application Default Credentials.”
- Application Default Credentials secures Sensitive Data Protection From the official documentation: “To authenticate to Sensitive Data Protection, set up Application Default Credentials.”
- Application Default Credentials secures Bigtable From the official documentation: “To authenticate to Bigtable, set up Application Default Credentials.”
- BigQuery works with Dataflow From the official documentation: “Read from BigQuery to Dataflow”
- BigQuery works with Cloud SQL From the official documentation: “Add credentials to connect BigQuery to Cloud SQL.”
- Cloud Run works with Cloud SQL From the official documentation: “Learn how to connect to Cloud SQL from Cloud Run”
- Application Default Credentials works with Dataflow From the official documentation: “To authenticate to Dataflow, set up Application Default Credentials.”
- Bigtable depends on Application Default Credentials From the official documentation: “To authenticate to Bigtable, set up Application Default Credentials.”
- VPC Service Controls secures BigQuery From the official documentation: “BigQuery data is protected with VPC Service Controls”
- Application Default Credentials secures Cloud Storage From the official documentation: “To authenticate to Cloud Storage, set up Application Default Credentials.”
- Application Default Credentials secures Spanner From the official documentation: “To authenticate to Spanner, set up Application Default Credentials.”
- Knowledge Catalog depends on Application Default Credentials From the official documentation: “To authenticate to Knowledge Catalog, set up Application Default Credentials.”
- Cloud Storage depends on Application Default Credentials From the official documentation: “To authenticate to Cloud Storage, set up Application Default Credentials.”
- Application Default Credentials works with Spanner From the official documentation: “To authenticate to Spanner, set up Application Default Credentials.”
- BigQuery works with Knowledge Catalog From the official documentation: “Some Knowledge Catalog functionalities trigger job execution using BigQuery.”
- Cloud SQL works with Cloud Storage From the official documentation: “When ingesting data from Cloud SQL, data is first staged to a Cloud Storage bucket.”
- Spanner depends on Application Default Credentials From the official documentation: “To authenticate to Spanner, set up Application Default Credentials.”
- BigQuery works with Bigtable From the official documentation: “External BigQuery data source backed by Bigtable”
- BigQuery works with Cloud Monitoring From the official documentation: “You can use Monitoring to export your metrics to BigQuery.”
- Cloud Run works with Pub/Sub From the official documentation: “Route Cloud Pub/Sub events to Cloud Run”
- Dataflow works with Pub/Sub From the official documentation: “Pub/Sub notifies Dataflow about the upload.”
- Cloud Run works with Cloud Storage From the official documentation: “Route Cloud Storage events to Cloud Run”
- Pub/Sub works with Sensitive Data Protection From the official documentation: “Watch the Pub/Sub topic until the DLP job finishes”
- Application Default Credentials works with Sensitive Data Protection From the official documentation: “To authenticate to Sensitive Data Protection, set up Application Default Credentials.”
- BigQuery is an alternative to Pub/Sub From the official documentation: “To keep audit logs for a longer period of time or to use more powerful search capabilities, you can route copies of your audit logs to Cloud Storage, BigQuery, or Pub/Sub.”
- BigQuery works with Spanner From the official documentation: “Reverse ETL (BigQuery to Spanner)”
- Cloud Monitoring depends on Application Default Credentials From the official documentation: “To authenticate to Monitoring, set up Application Default Credentials.”
- Cloud Monitoring works with Cloud SQL From the official documentation: “You can also get more details by viewing the Cloud Monitoring logs for your Cloud SQL destination instance.”
- Cloud Run depends on Pub/Sub From the official documentation: “Create a Pub/Sub topic that Cloud Scheduler will publish to and the Cloud Run function will subscribe to.”
- Cloud SQL works with Identity and Access Management From the official documentation: “This page describes how Cloud SQL is integrated with IAM .”
- Cloud SQL works with Knowledge Catalog From the official documentation: “You can use Knowledge Catalog to organize and enrich the metadata of Cloud SQL resources.”
- Cloud Storage works with Dataflow From the official documentation: “Write from Dataflow to Cloud Storage”
- Cloud Storage works with Sensitive Data Protection From the official documentation: “Uses the Data Loss Prevention API to analyze a file on GCS.”
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