All news with #bigquery tag

What's New in Google Data Cloud: August Product Roundup

🔔 This Google Cloud roundup summarizes recent product milestones, GA launches, previews, and integrations across the data analytics, BI, and database portfolio. It highlights updates to BigQuery, Firestore, Cloud SQL, AlloyDB, and adjacent services aimed at easing ingestion, migration, and AI-driven operations. Notable items include MongoDB-compatible Firestore GA, PSC networking improvements for Database Migration Service, and a redesigned BigQuery data ingestion experience. The post also emphasizes resilience and DR enhancements such as immutable backups and Near Zero Downtime maintenance.

DLA Selects Google Public Sector for Cloud Modernization

☁️ Google Public Sector has been awarded a $48 million DLA Enterprise Platform contract to migrate the Defense Logistics Agency to a DoD‑accredited commercial cloud. The multi‑phased program will move key infrastructure and data to a modern, AI‑ready Google Cloud foundation and enable BigQuery, Looker, and Vertex AI analytics. Emphasizing secure‑by‑design infrastructure and Mandiant threat intelligence, the effort aims to reduce costs, improve resiliency, and accelerate AI‑driven logistics and transportation management.

Storage Insights datasets optimize Cloud Storage spend

📊 Storage Insights datasets put object and bucket metadata into a BigQuery-linked dataset that refreshes automatically, enabling detailed analysis of storage spend, distribution, lifecycle and Autoclass usage. Administrators can run SQL queries or use Gemini Cloud Assist for natural-language insights, then feed outputs into serverless batch operations to relocate, transition or delete data at scale. The feature supports organization-, folder-, project- or bucket-scoped datasets with daily updates and up to 90-day retention for operational and FinOps workflows.

Google Conversational Analytics API Brings Chat to Your Data

💬 The Conversational Analytics API lets developers embed natural‑language data queries and chat‑driven analysis directly into custom applications, internal tools, and workflows. It combines Google's AI, Looker’s semantic layer, and BigQuery context engineering to deliver data, chart, and text answers with trusted access controls. Features include agentic orchestration, a Python Code Interpreter, RAG‑assisted context engineering, and both stateful and stateless conversation modes. Enterprise controls such as RBAC, row‑ and column‑level access, and query limits are built in.

Earth Engine in BigQuery: Raster Analytics & Map Visuals

🌍 BigQuery now integrates Earth Engine, enabling analysts to run raster analytics and join satellite-derived imagery with vector data using familiar SQL workflows. Initial capabilities include the ST_RegionStats() geography function plus a curated set of ~20 Earth Engine raster datasets for land cover, weather and climate analysis. With general availability, Google Cloud adds EU regional deployment, an Image Details tab for enhanced metadata visibility, usage and quota controls, and a preview map visualization in BigQuery Studio to render GEOGRAPHY query results on Google Maps for interactive exploration and stakeholder-ready outputs.

What’s New in Google Cloud: Releases, Previews, and News

🔔 Google Cloud published a consolidated roundup of product releases and previews from early July through Aug 22, 2025, covering GA launches, public previews, and platform enhancements. Highlights include Earth Engine in BigQuery (GA), Vertex AI embedding scaling, new GKE features for NUMA alignment and swap, expanded NodeConfig controls, and Cloud Run with GPUs. Customers should review the linked documentation, request preview access via account teams where needed, and plan upgrades or migrations accordingly.