--- name: ckg-google-dataplex-knowledge-catalog description: "Google Dataplex Universal Catalog (rebranded Knowledge Catalog, 2026-04-10) — complete CKG of the docs.cloud.google.com/dataplex/docs surface. 271 nodes, 375 edges, 10 domains. Covers lakes/zones/assets, the entry/aspect metadata model, search & discovery, metadata import/export jobs, auto data quality, data profiling, data lineage, governance/IAM/security, business glossary, Spark tasks/Explore, and BigLake/Iceberg metastore." metadata: node_type: reference type: reference version: 1.0.0 date: 2026-06-18 source: "Google Cloud documentation — https://docs.cloud.google.com/dataplex/docs" nodes: 271 edges: 375 domains: 10 formats: - md --- # Google Dataplex Universal Catalog / Knowledge Catalog — Compressed Knowledge Graph (CKG) v1.0.0 # Source: docs.cloud.google.com/dataplex/docs (live docs, fetched 2026-06-18) # NOTE: Product rebranded 'Dataplex Universal Catalog' -> 'Knowledge Catalog' on 2026-04-10; # API / gcloud / client-library / IAM names are UNCHANGED (still dataplex.googleapis.com / dataplex.*). # Generated by Graphify.md | graphifymd.com # 271 concepts · 375 dependency edges · 10 domains # Paste into any LLM, ask: "What depends on [concept]?" or "Trace the path from Asset to Column-Level Access Control." ## META domain: google-dataplex-knowledge-catalog nodes: 271 edges: 375 domains: 10 (CORE · CAT · SRCH · DQ · PROF · LIN · GOV · GLOS · PROC · BLAKE) edge_type: technical dependency (source concept required to understand/implement the target) version: 1.0.0 ## CORE — Platform & Data Organization (31 concepts) # Source: introduction (Knowledge Catalog overview) · build-a-data-mesh · manage-assets · manage-zone · data-products-overview · locations · catalog-overview Dataplex Universal Catalog deps: none (root) Knowledge Catalog (2026-04-10 rename) deps: Dataplex Universal Catalog Dataplex + Data Catalog unification deps: Dataplex Universal Catalog Data fabric deps: Dataplex Universal Catalog Control plane deps: Dataplex Universal Catalog | Data fabric Logical vs physical organization deps: Control plane BigQuery deps: none (root) Cloud Storage deps: none (root) Cloud Storage bucket deps: Cloud Storage BigQuery dataset deps: BigQuery Lake deps: Control plane | Logical vs physical organization Zone deps: Lake Raw zone deps: Zone | Cloud Storage bucket Curated zone deps: Zone | BigQuery dataset Asset deps: Zone | Logical vs physical organization Cloud Storage bucket asset deps: Asset | Cloud Storage bucket BigQuery dataset asset deps: Asset | BigQuery dataset Managed vs external resources deps: Asset External table publishing deps: Cloud Storage bucket asset | Managed vs external resources Fileset deps: Asset | Cloud Storage bucket Region / Location deps: Lake Single-region vs multi-region deps: Region / Location | Asset Multi-project asset mapping deps: Asset | Lake Lake-Zone-Asset hierarchy deps: Lake | Zone | Asset Data mesh deps: Lake-Zone-Asset hierarchy | Logical vs physical organization Data domain deps: Data mesh | Lake Decentralized data ownership deps: Data mesh | Data domain Data product deps: Asset | Data mesh Data contract deps: Data product Access groups deps: Data product Context graph (Gemini) deps: Knowledge Catalog (2026-04-10 rename) ## CAT — Catalog Metadata Model (31 concepts) # Source: catalog-overview · enrich-entries-metadata · ingest-custom-sources · transition-to-dataplex-catalog · fully-qualified-names Metadata model deps: Dataplex Universal Catalog Physical vs logical metadata deps: Metadata model Entry deps: Metadata model Column (entry column / path) deps: Entry Entry group deps: Entry System entry group (@bigquery) deps: Entry group | System entry (automatically-managed) Custom entry group deps: Entry group | Custom entry Entry type deps: Entry System entry type deps: Entry type | System entry (automatically-managed) Custom entry type deps: Entry type | Custom entry GenericEntryType deps: Entry type | Tag template to Aspect type mapping Aspect deps: Entry Aspect type deps: Aspect Aspect type field / metadata template deps: Aspect type System aspect type deps: Aspect type | System entry (automatically-managed) Custom aspect type deps: Aspect type Required aspect deps: Aspect | Entry type Optional aspect deps: Aspect Column-level aspect deps: Aspect | Column (entry column / path) Global vs regional scope deps: Aspect type | Entry type Aspect key / path deps: Aspect | Column (entry column / path) System entry (automatically-managed) deps: Entry Custom entry deps: Entry | Entry type Entry source deps: Entry Fully-Qualified Name (FQN) deps: Entry Entry link deps: Entry Entry link type deps: Entry link | Entry type Catalog API (Dataplex API) deps: Entry | Aspect | Entry group Custom connector (ImportItem format) deps: Metadata import job Metadata storage (SKU) deps: Metadata model Tag template to Aspect type mapping deps: Aspect type | Knowledge Catalog (2026-04-10 rename) ## SRCH — Search, Discovery & Metadata Jobs (42 concepts) # Source: search-syntax · search-assets · discover-data · automatic-discovery · import-metadata · export-metadata · metadata-change-feeds-overview Catalog Search deps: Entry | Entry group Keyword Search deps: Catalog Search Natural Language Search deps: Catalog Search Simple Search deps: Keyword Search Qualified Predicate deps: Keyword Search Colon vs Equal-Sign Matching deps: Qualified Predicate Search Qualifiers deps: Qualified Predicate | Fully-Qualified Name (FQN) Aspect Search deps: Qualified Predicate | Aspect type Logical Operators (AND/OR/NOT) deps: Qualified Predicate Faceted Search Filters deps: Keyword Search | Aspect type Search Scope deps: Catalog Search SearchEntries API Method deps: Catalog Search | Search Scope Search Result Ranking deps: Catalog Search Automatic Discovery deps: Entry Discovery Scan deps: Automatic Discovery | Entry group Discovery Scan Schedule deps: Discovery Scan Include/Exclude Glob Patterns deps: Discovery Scan Schema Inference deps: Discovery Scan Partition Detection deps: Discovery Scan | Schema Inference CSV/JSON Parsing Options deps: Discovery Scan Published BigQuery Dataset deps: Discovery Scan BigLake / External / Object Tables deps: Published BigQuery Dataset | Schema Inference Metadata Caching & Freshness deps: BigLake / External / Object Tables | Discovery Scan Schedule Discovered Filesets deps: Discovery Scan Metadata import job deps: Entry group | Entry type | Aspect type Metadata Import File (JSON Lines) deps: Metadata import job Import Job Scope deps: Metadata import job Entry Sync Mode (FULL/NONE) deps: Metadata import job | Import Job Scope Aspect Sync Mode (INCREMENTAL) deps: Metadata import job | Import Job Scope Custom Connector Import Pipeline deps: Metadata import job | Metadata Import File (JSON Lines) Import Validation / Dry Run deps: Metadata import job | Metadata Import File (JSON Lines) Metadata export job deps: Entry group | Entry Export Job Scope deps: Metadata export job Export Output to Cloud Storage deps: Metadata export job File Splitting (1M entries/file) deps: Export Output to Cloud Storage Export-as-Import Reuse deps: Export Output to Cloud Storage | Metadata Import File (JSON Lines) metadataJobs API Resource deps: Metadata import job | Metadata export job Metadata Change Feed deps: Entry | Aspect Change Feed Scope deps: Metadata Change Feed Change Feed Filters deps: Metadata Change Feed Pub/Sub Notification Destination deps: Metadata Change Feed | Change Feed Scope Change Notification Message deps: Pub/Sub Notification Destination ## DQ — Data Quality (27 concepts) # Source: auto-data-quality-overview · use-auto-data-quality · reference/rest/v1/DataQualityRule · data-quality-tasks-overview DataScan Resource deps: none (root) Data Quality Scan deps: DataScan Resource DataScanJob deps: Data Quality Scan Data Quality Rule deps: Data Quality Scan Rule Column Binding deps: Data Quality Rule Ignore-Null Option deps: Data Quality Rule NonNullExpectation (null check) deps: Data Quality Rule RangeExpectation (range check) deps: Data Quality Rule SetExpectation (set check) deps: Data Quality Rule RegexExpectation (regex check) deps: Data Quality Rule UniquenessExpectation (uniqueness) deps: Data Quality Rule StatisticRangeExpectation (statistic) deps: Data Quality Rule RowConditionExpectation (row condition) deps: Data Quality Rule | Custom SQL Rule TableConditionExpectation (table cond.) deps: Data Quality Rule | Custom SQL Rule SQL Assertion Rule deps: Data Quality Rule | Custom SQL Rule Custom SQL Rule deps: Data Quality Rule Data Quality Dimension deps: Data Quality Rule Passing Threshold deps: Data Quality Rule Data Quality Score deps: Passing Threshold | DataScanJob Rule Recommendations deps: Data Quality Scan | Data Profile Scan DQ Scan Scope (full/incremental) deps: Data Quality Scan Export Results to BigQuery deps: DataScanJob | Data Quality Score Publish to Catalog (data-quality-scorecard) deps: DataScanJob | Data Quality Score DQ Alerting (Cloud Logging/Monitoring) deps: DataScanJob Scan Execution Identity deps: Data Quality Scan Legacy Data Quality Task (CloudDQ) deps: Data Quality Rule DataScan IAM Roles deps: DataScan Resource ## PROF — Data Profiling (14 concepts) # Source: data-profiling-overview · use-data-profiling · use-data-profile-unstructured-data Data Profile Scan deps: DataScan Resource Profile Statistics deps: Data Profile Scan Null Percentage deps: Profile Statistics Distinct-Value Percentage (cardinality) deps: Profile Statistics Top-N Common Values deps: Profile Statistics Numeric Distribution Stats deps: Profile Statistics String Length Stats deps: Profile Statistics Profiling Mode (standard/lightweight) deps: Data Profile Scan Unstructured Data Profiling deps: Data Profile Scan | Profiling Mode (standard/lightweight) Profile Sampling deps: Data Profile Scan Profile Scan Scope (full/incr/row-filter) deps: Data Profile Scan Publish Profile to Catalog / BigQuery UI deps: Data Profile Scan | Profile Statistics Export Profile Results to BigQuery deps: Data Profile Scan | Profile Statistics Profile-to-DQ Rule Recommendation deps: Profile Statistics | Rule Recommendations ## LIN — Data Lineage (30 concepts) # Source: about-data-lineage · lineage-views · open-lineage · use-lineage · lineage-track-external-system-information · dataproc lineage Data Lineage deps: none (root) Data Lineage API deps: Data Lineage Lineage Information Model deps: Data Lineage API Process deps: Lineage Information Model Run deps: Process Lineage Event deps: Run Links deps: Lineage Event Source and Target Entity deps: Links EntityReference deps: Source and Target Entity Process Origin Field deps: Process Table-Level Lineage deps: Links Column-Level Lineage deps: Table-Level Lineage Automatic Lineage deps: Data Lineage API | Process BigQuery Lineage Integration deps: Automatic Lineage Dataproc Spark Lineage Integration deps: Automatic Lineage | OpenLineage Compatibility OpenLineage Spark Plugin deps: Dataproc Spark Lineage Integration Cloud Composer / Airflow Lineage deps: Automatic Lineage Dataflow Lineage Integration deps: Automatic Lineage Vertex AI Lineage Integration deps: Automatic Lineage Dataform Lineage Integration deps: Automatic Lineage Data Fusion Lineage Integration deps: Automatic Lineage Custom Lineage deps: Data Lineage API | Process | Run | Lineage Event | Fully-Qualified Name (FQN) OpenLineage Compatibility deps: Data Lineage API | Lineage Information Model ProcessOpenLineageRunEvent deps: OpenLineage Compatibility | Custom Lineage Lineage Graph Visualization deps: Links | Source and Target Entity Upstream and Downstream Lineage deps: Lineage Graph Visualization Lineage on Catalog Entries deps: Fully-Qualified Name (FQN) | Lineage Graph Visualization Lineage Retention (30 days) deps: Lineage Event Enabling Lineage & Permissions deps: Data Lineage API Lineage Regions deps: Data Lineage API ## GOV — Governance, Security & Access Control (39 concepts) # Source: iam-and-access-control · iam-roles · lake-security · attribute-store · cmek · vpc-sc · audit-logging · column-level-security-intro · SDP add-aspects Cloud IAM deps: none (root) IAM Principal deps: Cloud IAM IAM Permission deps: Cloud IAM IAM Role deps: IAM Permission IAM Allow Policy deps: IAM Principal | IAM Role Predefined Role deps: IAM Role Custom Role deps: IAM Role | IAM Permission Basic Role deps: IAM Role Resource Hierarchy deps: Cloud IAM IAM Policy Inheritance deps: IAM Allow Policy | Resource Hierarchy Dataplex Service Agent deps: IAM Principal roles/dataplex.admin deps: Predefined Role roles/dataplex.editor deps: Predefined Role roles/dataplex.viewer deps: Predefined Role roles/dataplex.dataScanAdmin deps: Predefined Role Catalog IAM Roles deps: Predefined Role Metadata IAM Roles deps: Predefined Role Lake Data Access Roles deps: Predefined Role | IAM Policy Inheritance Security Policy Propagation deps: Lake Data Access Roles | Resource Hierarchy Attribute Store deps: Cloud IAM Data Taxonomy deps: Attribute Store Data Attribute deps: Data Taxonomy Data Attribute Inheritance deps: Data Attribute Resource Access Specification deps: Data Attribute | Security Policy Propagation Column Access Specification deps: Data Attribute | Policy Tag Data Attribute Binding deps: Data Attribute | Resource Access Specification | Column Access Specification Taxonomy (Policy Tag) deps: Cloud IAM Policy Tag deps: Taxonomy (Policy Tag) Column-Level Access Control deps: Policy Tag | Data Attribute Binding Cloud Audit Logs deps: Cloud IAM Data Access Audit Log deps: Cloud Audit Logs VPC Service Controls deps: Resource Hierarchy Service Perimeter deps: VPC Service Controls Cloud KMS deps: none (root) Customer-Managed Encryption Key (CMEK) deps: Cloud KMS Sensitive Data Protection (DLP) deps: none (root) DLP Data Profile deps: Sensitive Data Protection (DLP) Sensitive Data Aspect Enrichment deps: DLP Data Profile | Data Attribute Data Stewardship & Ownership deps: Resource Hierarchy | Data Taxonomy ## GLOS — Business Glossary (16 concepts) # Source: create-glossary · manage-glossaries · catalog-overview · introduction (GA: business glossary) Business Glossary (purpose) deps: Dataplex Universal Catalog Glossary deps: Business Glossary (purpose) | Entry group Category deps: Glossary Category Nesting (hierarchical taxonomy) deps: Category Glossary Term deps: Glossary | Category Short Description deps: Glossary Term | Category Overview (rich-text description) deps: Glossary Term | Category | Glossary Synonyms deps: Glossary Term Related Terms deps: Glossary Term Entry Link (term assignment) deps: Glossary Term | Entry link Term-to-Column Assignment deps: Entry Link (term assignment) | Aspect Contacts (stewards) deps: Glossary | Category | Glossary Term Search by Glossary Term deps: Glossary Term | Entry Link (term assignment) Bulk Glossary Import API deps: Glossary | Category | Glossary Term | Entry Link (term assignment) Glossary IAM Roles & Permissions deps: Glossary | Category | Glossary Term | Entry Link (term assignment) Data Mesh / Data Product Context deps: Business Glossary (purpose) | Entry Link (term assignment) ## PROC — Data Processing & Exploration (21 concepts) # Source: schedule-custom-spark-tasks · reference/rest/v1 tasks · data-quality-tasks-overview · access-metadata · Explore workbench Serverless Spark Processing deps: none (root) Dataproc Serverless Integration deps: Serverless Spark Processing Dataplex Task deps: Lake | Serverless Spark Processing Task Job deps: Dataplex Task TriggerSpec deps: Dataplex Task On-Demand Trigger deps: TriggerSpec Recurring Trigger (cron schedule) deps: TriggerSpec ExecutionSpec (service account & args) deps: Dataplex Task InfrastructureSpec deps: Dataplex Task | Dataproc Serverless Integration Batch Compute Resources (autoscaling) deps: InfrastructureSpec Container Image Runtime deps: InfrastructureSpec Spark Task Config (Java/PySpark/SQL) deps: Dataplex Task Notebook Task Config deps: Dataplex Task Dataplex Explore Workbench deps: Lake | Serverless Spark Processing Explore Environment deps: Dataplex Explore Workbench | InfrastructureSpec Explore Session deps: Explore Environment Session Pooling (fast-startup default env) deps: Explore Environment Spark SQL Script (saved query) deps: Dataplex Explore Workbench Explore Notebook (JupyterLab/PySpark) deps: Dataplex Explore Workbench Content Resource (saved scripts/notebooks) deps: Spark SQL Script (saved query) | Explore Notebook (JupyterLab/PySpark) One-Click Scheduling of Scripts/Notebooks deps: Content Resource (saved scripts/notebooks) | Dataplex Task ## BLAKE — Open Formats & Metastore (20 concepts) # Source: biglake/docs/about-blms · manage-open-source-metadata · iceberg-rest-catalog · iceberg-tables · iceberg-external-tables · automatic-discovery Open Table Format (Apache Iceberg) deps: none (root) BigLake Metastore / Lakehouse Runtime Catalog deps: Open Table Format (Apache Iceberg) Catalog-Namespace-Table Hierarchy deps: BigLake Metastore / Lakehouse Runtime Catalog Iceberg REST Catalog Endpoint deps: BigLake Metastore / Lakehouse Runtime Catalog | Open Table Format (Apache Iceberg) Apache Hive Catalog Endpoint deps: BigLake Metastore / Lakehouse Runtime Catalog Runtime Metastore for OSS Engines (Spark/Trino/Flink) deps: Iceberg REST Catalog Endpoint Storage Access Delegation (credential vending) deps: Iceberg REST Catalog Endpoint BigLake Metastore Classic (legacy) deps: BigLake Metastore / Lakehouse Runtime Catalog Dataplex Governance Integration deps: BigLake Metastore / Lakehouse Runtime Catalog | Dataplex Universal Catalog BigLake Iceberg Tables in BigQuery (managed) deps: Open Table Format (Apache Iceberg) | BigLake Metastore / Lakehouse Runtime Catalog GoogleSQL DML Mutations deps: BigLake Iceberg Tables in BigQuery (managed) BigQuery Storage Write API Streaming deps: BigLake Iceberg Tables in BigQuery (managed) Iceberg V2 Snapshot Export deps: BigLake Iceberg Tables in BigQuery (managed) Automatic Table Maintenance (compaction/GC) deps: BigLake Iceberg Tables in BigQuery (managed) BigLake Connection (Cloud Resource Connection) deps: none (root) Apache Iceberg External Table (read-only) deps: Open Table Format (Apache Iceberg) | BigLake Connection (Cloud Resource Connection) Cloud Storage BigLake Table deps: BigLake Connection (Cloud Resource Connection) Object Table (unstructured data metadata) deps: BigLake Connection (Cloud Resource Connection) Discovery to BigLake/External/Object Tables deps: Cloud Storage BigLake Table | Object Table (unstructured data metadata) | Apache Iceberg External Table (read-only) | Automatic Discovery Dataproc Metastore (Hive compatibility) deps: Lake --- ## APPENDIX A — KEY API RESOURCES - **CORE** — Lake, Zone, Asset (projects.locations.lakes[.zones[.assets]]); DataProduct; AccessGroup; Contract. Zone types: RAW, CURATED. CLI namespace `gcloud dataplex lakes|zones|assets` (unchanged after rename). - **CAT** — EntryGroup, EntryType, Entry, AspectType, Aspect (embedded in Entry, keyed by aspect-type ref + path), EntryLink, EntryLinkType. System entry groups: @bigquery, @pubsub, @spanner, @bigtable, + Cloud Storage / Vertex AI / AlloyDB / Dataform / Looker / Analytics Hub. - **SRCH** — catalog.searchEntries (REST) / `gcloud dataplex entries search`; DataScan type=DATA_DISCOVERY; metadataJobs (import + export); metadata change feed -> Pub/Sub topic. Import sync: Entry FULL/NONE + Aspect INCREMENTAL. - **DQ** — DataScan (type=DATA_QUALITY) -> DataScanJob (history ~300 jobs / 1yr). DataQualityRule fields: column, ignoreNull, dimension, threshold(0.0-1.0) + one expectation. 7 dimensions: Completeness, Accuracy, Consistency, Validity, Uniqueness, Freshness, Volume. - **PROF** — DataScan (type=DATA_PROFILE) -> DataScanJob. Standard vs Lightweight (Preview) mode. Publishes `data-profile` system aspect; exports to BigQuery. - **LIN** — Process -> Run -> LineageEvent -> Links -> EntityReference(FQN, <=4000 chars). Methods: processes.create, runs.create, lineageEvents.create, ProcessOpenLineageRunEvent, SearchLinks, BatchSearchLinkProcesses. API: datalineage.googleapis.com (regional). Retention 30 days. - **GOV** — DataTaxonomy -> DataAttribute -> DataAttributeBinding (Resource Access Spec + Column Access Spec). Taxonomy -> PolicyTag (BigQuery column-level security). CMEK via Cloud KMS/HSM/EKM (org-level; Data Lineage excluded). VPC-SC Service Perimeter. Cloud Audit Logs under dataplex.googleapis.com. - **GLOS** — Glossary, GlossaryCategory, GlossaryTerm, EntryLink (BusinessGlossaryService); glossaries live in reserved @dataplex entry group. Limits: 200 categories, 5,000 terms, 3 nesting levels per glossary; short desc <=1KB, overview <=120KB. - **PROC** — Task (SparkTaskConfig | NotebookTaskConfig; TriggerSpec ON_DEMAND/RECURRING + cron; ExecutionSpec; InfrastructureSpec.batch executors 2-100 -> 1000 autoscale) -> Job. Environment (1 node = 4 DCU) -> Session -> Content (saved SQL scripts + notebooks). - **BLAKE** — BigLake metastore / 'Lakehouse runtime catalog'; Iceberg REST endpoint biglake.googleapis.com/iceberg/v1/restcatalog; credential vending header X-Iceberg-Access-Delegation=vended-credentials; managed BigLake Iceberg tables in BigQuery (GA); Iceberg V2 GA / V3 Preview. ## APPENDIX B — KEY IAM ROLES (names unchanged after rename) - roles/dataplex.admin / editor / viewer / developer — top-level Dataplex management - roles/dataplex.dataScanAdmin / dataScanEditor / dataScanViewer / dataScanDataViewer / dataScanCreator — DQ & profiling scans - roles/dataplex.dataOwner / dataReader / dataWriter — lake/zone/asset data access (propagates to underlying BigQuery + Cloud Storage) - roles/dataplex.metadataReader / metadataWriter — metadata access - roles/dataplex.catalogAdmin / catalogEditor / catalogViewer — Knowledge Catalog entries, aspects, glossaries - roles/dataplex.aspectTypeOwner|User, entryTypeOwner|User, entryGroupOwner, entryOwner — type/group ownership - roles/dataplex.taxonomyAdmin / taxonomyViewer / bindingAdmin — attribute store; roles/dataplex.encryptionAdmin — CMEK - roles/datalineage.viewer / producer / editor / admin — Data Lineage (producer needed by Dataproc/Spark SA) - Data Catalog Fine-Grained Reader — read BigQuery columns protected by a policy tag ## APPENDIX C — NAMING & MIGRATION NOTES - **2026-04-10 rebrand:** 'Dataplex Universal Catalog' -> **'Knowledge Catalog'**. Cosmetic at the technical layer — API endpoints, `gcloud dataplex` commands, client libraries, and IAM role IDs are all unchanged. Treat the two names as the same entity (alias edge). - **Data Catalog consolidation (essentially complete):** legacy Data Catalog merged into the universal/Knowledge Catalog. **Aspect types succeed tag templates; aspects succeed tags.** Legacy tag templates/tags were deprecated with discontinuation around **Feb 2026**. Custom Data Catalog entries map to **GenericEntryType** entries. - **Policy tags are NOT deprecated:** policy tags & taxonomies (BigQuery column-level access control) survive the Data Catalog migration and remain the column-level security mechanism (see GOV). - **Lake/Zone/Asset is purely logical:** Dataplex never moves data; buckets stay in Cloud Storage, datasets stay in BigQuery. The lake's region physically anchors managed resources. - **AutoDQ vs legacy:** serverless **data quality scans** (DataScan) + **data profiling scans** supersede the open-source **CloudDQ** Data Quality Task; profiling feeds AutoDQ rule **recommendations**. - **BigLake metastore renamed 'Lakehouse runtime catalog';** BigLake metastore *classic* and CloudDQ Data Quality Tasks are legacy. The **Explore / Exploration Workbench** is documented but de-emphasized (its canonical URL now redirects to the Knowledge Catalog overview) in favor of BigQuery Studio + Spark-task workflows. - **Lineage constraints:** retained 30 days (export to BigQuery for compliance) and regionalized (query per-region). - **Emerging AI layer:** first-class **Data products** (contracts + access groups) and the Gemini-powered **context graph** signal a shift from passive metadata registry toward an active context layer for AI agents. --- **Version:** 1.0.0 — extracted from live Google Cloud documentation, 2026-06-18. **Use for:** onboarding to Dataplex/Knowledge Catalog, architecture & governance design, exam/cert prep, grounding an LLM/agent, mapping a data-governance program. **Ask the graph:** "What must I understand before Data Attribute Binding?" · "Trace Cloud Storage bucket -> BigLake/External/Object Tables." · "What depends on DataScan Resource?"