bigquery

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Accelerating the borderless Lakehouse: Announcing preview of cross-cloud caching google.com
Google Cloud previewed cross‑cloud caching for its Borderless Lakehouse. The feature caches sub‑file Parquet blocks in Google Cloud, encrypts them with GMEK, isolates cache per tenant/region, and validates freshness via metadata checks. In tests it can reduce cross‑cloud data transfer to <5% of the original size, lowering query latency and cost for Iceberg tables stored in other clouds. BigQuery…
Google Cloud Bloggoogle.comWill Ochandarena4d3 minrelease
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Reimagining service delivery in the agentic era with Google Public Sector google.com
Google Public Sector’s blog post outlines how several U.S. state and local agencies are using Google Cloud’s AI services (BigQuery, Gemini, document‑analysis models) to replace manual data‑entry pipelines, consolidate data silos, and accelerate specific projects. Reported outcomes include mapping 52 k parcels in <1 yr vs. a 33.5‑yr estimate (UT DOT), $1.3 M cost savings for real‑time translation…
Google Cloud Bloggoogle.comMatt Schneider4d4 min

Accelerating the borderless Lakehouse: Announcing preview of cross-cloud cachinggoogle.com