#bigquery
resources. For more information, see Manage BigQuery resources using custom constraints. This feature is generally available (GA).
November 12, 2025 at 3:35 PM
Resource Manager update on November 05, 2025 https://cloud.google.com/resource-manager/docs/release-notes#November_05_2025 #googlecloud Feature You can use custom constraints with Organization Policy to provide more granular control over specific fields for some BigQuery
November 12, 2025 at 3:35 PM
BigQuery под капотом: как Google привнес эмбеддинги в аналитику

Векторные представления, отражающие смысл данных, критически важны для их сравнения и анализа. BigQuery представил векторный поиск, чтобы упростить этот процесс, предлагая доступное решение для всех пол…

Telegram ИИ Дайджест
#ai #news
BigQuery under the hood: How Google brought embeddings to analytics
cloud.google.com
November 12, 2025 at 3:04 PM
BigQuery under the hood: How Google brought embeddings to analytics

Embeddings, representing data's meaning, are crucial for comparing and analyzing data. BigQuery introduced vector search to simplify this process, offering an accessible solution for all users. B…

Telegram AI Digest
#ai #llm #news
BigQuery under the hood: How Google brought embeddings to analytics
Embeddings, representing data's meaning, are crucial for comparing and analyzing data. BigQuery introduced vector search to simplify this process, offering an accessible solution for all users. Before BigQuery's native support, vector search involved complex, multi-step processes for data professionals. BigQuery's vector search focuses on simplicity, being serverless, and easy to use. It offers automatic index refresh, integration with GoogleSQL and Python, and guaranteed data consistency. Users pay only for what they use, and strong security measures are in place. Vector search improves LLM applications, semantic search, customer 360, and anomaly detection. Enhanced batch processing capabilities allow for large-scale clustering and comprehensive anomaly detection. Updates included TreeAH, asynchronous index training, stored columns, and partitioned indexes. Index model rebuilds ensure the accuracy of vector search results over time. The future aims to index all enterprise data effectively for AI and analytics.
cloud.google.com
November 12, 2025 at 2:51 PM
The latest update for #BigQuery includes "BigQuery under the hood: How Google brought embeddings to #analytics" and "New BigQuery Studio experience: Boost your data analysis #productivity".

#bigdata https://opsmtrs.com/3CfptMn
Google BigQuery
A fast, highly scalable, cost-effective, and fully managed cloud data warehouse for analytics, with built-in machine learning.
opsmtrs.com
November 12, 2025 at 5:01 AM
BigQuery update on January 02, 2025 https://cloud.google.com/bigquery/docs/release-notes#January_02_2025 #googlecloud Change An updated version of JDBC driver for BigQuery is now available.
November 12, 2025 at 12:32 AM
labels in the BigQuery billing export for instances consuming a reservation and the unused portion of a reservation, providing more detailed cost analysis: compute.googleapis.com/reservation_name: the short name of the Compute Engine reservation.
November 11, 2025 at 7:32 PM
Figshare has an awesome, open API! So not in one place (it's a dream of mine to get it on BigQuery...), but freely accessible! Although... it might only have views and downloads? Citations you should be able to get from the Dimensions Metrics API...though I've never tried it with a dataset before!
November 11, 2025 at 3:07 PM
Hedera Hashgraph (HBAR) data now part of Google BigQuery public datasets, offering new cross-chain analytical opportunities on the cloud.
November 11, 2025 at 10:01 AM
🆕 The 202510 Chrome User Experience (CrUX) release is now live on BigQuery!

Check out the announcement post for the full info:
groups.google.com/a/chromium.o...

Highlights below 👇

🧵 1/3
Sign in - Google Accounts
groups.google.com
November 11, 2025 at 9:38 AM
The latest update for #CloudZero includes "CloudZero: Making #Kubernetes Costs Transparent And Actionable" and "What Is BigQuery? A Guide To How It Works And Costs".

#AWS #CostManagement https://opsmtrs.com/309pQ9X
CloudZero
With CloudZero you get insights about your applications and systems, helping you manage operations at a scale that you’ve never had before. Our platform provides you with insights about every piece of your system, including the real cost of resources, resource utilization, reserved capacity and cost center efficiency.
opsmtrs.com
November 11, 2025 at 4:23 AM
It seems like a bug that I can't export a BigQuery table with a JSON column to Apache Parquet. Why doesn't it just export it as text or binary blob or something instead?
November 11, 2025 at 3:44 AM
https://zenn.dev/hotaka_noda/articles/7bcf7f790decc7
Google Meetのネットワーク品質をLooker Studioで可視化する方法を紹介します。
BigQueryへのログエクスポート機能を使い、客観的なデータに基づきネットワーク品質の劣化を早期に検知します。
情シスやネットワーク担当者がいつでも状況を確認できるダッシュボードを構築できます。
「なんかMeet重いんだけど」を撲滅!GWS監査ログとLooker Studioで作るネットワーク品質ダッシュボード
zenn.dev
November 11, 2025 at 3:12 AM
BigQuery update on May 06, 2025 https://cloud.google.com/bigquery/docs/release-notes#May_06_2025 #googlecloud Change In the Google Cloud console, Analytics Hub has been renamed BigQuery sharing (Analytics Hub).
November 10, 2025 at 11:32 PM
BigQuery update on July 08, 2025 https://cloud.google.com/bigquery/docs/release-notes#July_08_2025 #googlecloud Announcement Starting August 1, 2025, GoogleSQL will become the default dialect for queries run from the command line interface (CLI) or API
November 10, 2025 at 11:32 PM
Note that if you want details on bigquery storage and/or processing you will need to write queries against information_schema
November 10, 2025 at 9:59 PM
Feature BigQuery ML now offers the AI.DETECT_ANOMALIES function. Use the AI.DETECT_ANOMALIES function with a TimesFM model to detect anomalies in time series data, using historical data as a baseline. This feature is in Preview.
November 10, 2025 at 9:32 PM
Feature BigQuery ML now supports the TimesFM 2.5 time series foundational model. You can use the TimesFM 2.5 model in the AI.FORECAST, AI.EVALUATE, and AI.DETECT_ANOMALIES functions to achieve better forecasting accuracy and lower latency
November 10, 2025 at 9:32 PM