Unified data discovery

Break down data silos and ensure enterprise-grade compliance. Knowledge Catalog provides a unified, automated metadata management service within Google Cloud Dataplex, enabling organisations across Africa to search, understand, and secure their data assets at scale.

Data

purpose

Empower teams with discoverable, trusted, compliant data

As enterprise data estates expand across regional silos, cloud platforms, and on-premises storage, finding and governing critical assets becomes a significant operational hurdle. Knowledge Catalog acts as the central metadata registry and data discovery engine for Google Cloud. It automatically inventories datasets, tracks data lineage, tags sensitive information, and enforces universal access policies.

benefits

Why Knowledge Catalog?

Unstructured and uncatalogued data exposes organisations to regulatory risk and slow decision-making. Knowledge Catalog turns scattered information into governed, discoverable assets.

Unified data discovery

Unified data discovery

Quickly find data assets across Google Cloud (BigQuery, Cloud Storage, Dataproc, Spanner) and external sources with powerful, faceted search and business-glossary tagging.

Automated metadata and sensitive data profiling

Automated metadata and sensitive data profiling

Automatically discover schema changes and scan for sensitive personal data (PII). Classify and tag assets using integration with Google Cloud’s Sensitive Data Protection.

End-to-end data lineage

End-to-end data lineage

Visualise the complete journey of your data from ingestion to reporting. Identify transformation origins, debug data pipelines faster, and understand downstream impact with confidence.

Accelerated regulatory compliance

Accelerated regulatory compliance

Maintain data sovereignty, satisfy audit standards, and comply with regional privacy regulations (such as POPIA and GDPR) through centralised, automated policy management.

Governed self-service analytics

Governed self-service analytics

Equip analysts, engineers, and data scientists to locate trusted, verified datasets independently without compromising security boundaries.

uses

Key features

Enterprise metadata management and governance built for modern cloud workloads.

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Fast, AI-assisted search across structured, semi-structured, and unstructured data assets mapped against standardized enterprise terms.

Automatically track and visualise relationships between tables, queries, ETL transformations, and BI reports without manual mapping.

Deeply embedded within Dataplex and BigQuery Studio, allowing data teams to manage governance and quality directly inside their primary workspaces.

Monitor accuracy, completeness, and freshness metrics automatically to catch pipeline anomalies before they affect dashboards.

Implement policy tags to enforce column-level and row-level access controls across BigQuery and analytics layers.

Ingest metadata from third-party multi-cloud platforms, legacy databases, and relational systems to maintain a holistic enterprise inventory.

Ready to get started?

Ready to build a trusted, compliant data estate? Contact us!

Ready to get started?

Resources