Unifying public and private data: Scale knowledge graphs with Data Commons on Spanner

Sicherheitsmeldung mit Schweregrad noch nicht bewertet. Technische Details im Tab „Originaltext“; empfohlene Schritte in der Checkliste.

Originaltext der Quelle (nicht übersetzt) – die deutsche Zusammenfassung findest du im Tab „Kurzfassung".

To make informed decisions, businesses often need to connect their internal data with public reference data, to create a knowledge graph that connects real-world things and their relationships. However, bridging data from public and private worlds has traditionally been complex. Today, we are streamlining these connections with the general availability of Data Commons on Spanner Graph and the preview of the new Data Commons Platform to unify your private knowledge with knowledge graphs from public datasets.  The overarching Data Commons project supports Google’s mission to organize the world's information and make it universally accessible and useful. Data Commons unifies fragmented public datasets from over 100 authoritative providers, including the United Nations, World Bank, US Census Bureau, Eurostat, WHO, and NOAA, with over 400 billion data points structured using standardized Schema.org definitions. Data Commons provides data exploration tools, MCP tools, and cloud-based APIs to access and integrate the clean datasets.  Data Commons integrates public information across multiple domains, including agriculture, demographics, economy, environment, and health. This standardized approach unlocks powerful use cases, for instance, letting you analyze national GDP trends, map regional smoke pollution levels, track local health equity, or demographic distributions over time, all using data that has already been preprocessed and normalized for you. Data Commons knowledge graph dimensions

Dimension

Size

Technical description

Statistical observations

400+ …

Vollständiger Originalartikel ↗

• Betroffenheit im eigenen Stack prüfen: Versionen/Komponenten abgleichen.
• Originalquelle / Hersteller-Advisory lesen: https://cloud.google.com/blog/products/databases/unify-public-and-private-data-with-data-commons-on-spanner-graph/
• Verfügbaren Patch oder Workaround einspielen und dokumentieren.