All news with #dataplex tag

VMO2 and Google Cloud: Data Contracts for Scalable AI

🔒 VMO2, with Google Cloud, implemented data contracts as machine-readable agreements to guarantee dataset quality, schema, semantics, and SLOs for individual assets like BigQuery tables and Cloud Storage buckets. Defined in YAML and managed via GitLab, contracts are validated and operationalized by Dataplex Universal Catalog, which provisions Data Quality Scan jobs and profiling. The platform uses Cloud Composer, Pub/Sub, and BigQuery to orchestrate scans, surface results, and provide dashboards for real-time observability.

Dataplex Data Products: Curated Assets for Enterprise

🔍 Google Cloud has introduced data products in Dataplex Universal Catalog (preview), packaging curated data assets, documentation, and governance controls into purpose-built units aligned to business use cases. These data products let producers declare quality, freshness, ownership, and contractual guarantees while grouping assets to simplify access and reduce operational toil. Consumers can discover, request access, and rely on documented lineage and context to accelerate analytics. Google also positions data products as foundational inputs to more reliable AI and agent-driven workflows.

Automated Metadata Generation in Google Data Cloud

🧭 Google announces generally available automated metadata generation in the Google Data Cloud, using Dataplex Universal Catalog and Gemini to convert profiling and schema context into human-readable table and column descriptions. The capability integrates with BigQuery, stores generated descriptions for search and governance, and is accessible via an API. It aims to reduce "metadata debt," accelerate time-to-insight, and provide reliable grounding for AI agents, while still encouraging human review for key business definitions.

Ericsson Secures Data Integrity with Dataplex Governance

🔒 Ericsson has implemented a global data governance framework using Dataplex Universal Catalog on Google Cloud to ensure data integrity, discoverability, and compliance across its Managed Services operation. The program standardized a business glossary, automated quality checks with incident-driven alerts, and visualized column-level lineage to support analytics, AI, and automation at scale. It balances defensive compliance with offensive innovation and embeds stewardship through Ericsson’s Data Operating Model.

Dataplex Supports Column-Level Lineage for BigQuery

🔍 Dataplex Universal Catalog now captures column-level lineage for BigQuery, extending object-level tracing to granular column transformations at no extra cost. The update provides interactive visual lineage graphs so users can inspect upstream and downstream flows for individual columns, trace origins, and assess downstream impact of modifications. This granularity helps validate authoritative sources for AI/ML features, enforce column-level governance, and improve compliance. It also surfaces freshness and usage metadata to support context-aware agents.

Oklahoma DOT Modernizes Bridge Management with Google Cloud

🔍 ODOT teamed with Google Cloud and North Highland to centralize decades of bridge inspection, location, and maintenance data into BigQuery and govern it with Dataplex, creating a single trusted source for analysis. Non-technical and technical staff can query complex datasets conversationally through Gemini in Looker, while BigQuery ML powers predictive models to flag at-risk bridges ahead of failures. Secure sharing via Analytics Hub and unified governance enables better resource allocation, improved safety, and faster, data-driven decisions across the agency.