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BigQuery vs. Production SQL: When should you use a data warehouse instead of a relational database?

Nov 2, 2026 By Google Cloud Tech In Google BigQuery

Why analytical queries slow down a production transactional database, and when to use a columnar data warehouse like BigQuery instead. (Note: We generated this explainer as part of an AI video experiment. Let us know in the comments if this quick format works for you.)

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BigQuery ObjectRef now GA: Build multimodal data platforms for conversational analytics entirely in SQL

Oct 22, 2026 By Guarav Soni In Google BigQuery

BigQuery ObjectRef is now GA. Combine unstructured data with Gemini to build powerful multimodal analytics and conversational agents using SQL.

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Predictable AI spend in BigQuery: Introducing cost management for generative AI functions

Oct 15, 2026 By Tushar Jaiswal In Google BigQuery

Token-based cost management for BigQuery generative AI functions lets you set daily quotas on AI token consumption so you can keep within your budget.

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Google BigQuery

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Introducing TimesFM 3.0 with multivariate time-series forecasting in BigQuery

Oct 13, 2026 By Haiyang Qi In Google BigQuery

Google Research’s TimesFM 3.0 is a 330-million parameter foundation model that unlocks native multivariate time-series forecasting in BigQuery SQL.

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Google BigQuery

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Modernizing Unstructured Data Workflows: Alteryx Live Query meets Google Cloud BigQuery

Oct 10, 2026 By Kira Droganova In Google BigQuery

Build code-free pipelines with Live Query + BigQuery. Use Gemini securely within your data platform to process and analyze unstructured data.

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Google BigQuery

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BigQuery Graph measures explained (Why your AI agents get metrics wrong and how measures fix it)

Oct 6, 2026 By Google Cloud Tech In Google BigQuery

Learn more about measures here. In this BigQuery tutorial, you’ll learn how to define graph measures with MEASURE, query them with AGG, and reuse calculations across different groupings. Follow a simple music dataset to fix double counting and explore the relationships behind the results. Chapters: Speaker: Annie Wang Products Mentioned: BigQuery, Gemini Live API, Agent Development Kit.

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Agent-ready analytics: Unlocking insights with BigQuery augmented analytics

Sep 15, 2026 By Jenny Ortiz In Google BigQuery

BigQuery augmented analytics Table-Valued Functions (TVFs) automate insight discovery and pattern explanation using AI, ML and statistical methods.

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Simplify pipelines with new BigQuery identity columns

Sep 3, 2026 By Wawrzek Hyska In Google BigQuery

New BigQuery identity columns let you define columns that automatically generate sequential 64-bit integer values to manage’ unique identifiers.

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Introducing TabFM in BigQuery: Predictive analytics reimagined

Sep 2, 2026 By Vaibhav Sethi In Google BigQuery

TabFM in BigQuery uses in-context learning (ICL) to deliver highly accurate predictions on your tabular datasets via a single SQL statement.

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BigQuery Graph is now GA: the knowledge foundation for the agentic era

Sep 1, 2026 By Bei Li In Google BigQuery

Discover how BigQuery Graph enables native graph analytics and AI agent grounding, delivering connected context across enterprise data without moving data.

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Google BigQuery

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Systems | Development | Analytics | API | Testing

BigQuery vs. Production SQL: When should you use a data warehouse instead of a relational database?

BigQuery ObjectRef now GA: Build multimodal data platforms for conversational analytics entirely in SQL

Predictable AI spend in BigQuery: Introducing cost management for generative AI functions

Introducing TimesFM 3.0 with multivariate time-series forecasting in BigQuery

Modernizing Unstructured Data Workflows: Alteryx Live Query meets Google Cloud BigQuery

BigQuery Graph measures explained (Why your AI agents get metrics wrong and how measures fix it)

Agent-ready analytics: Unlocking insights with BigQuery augmented analytics

Simplify pipelines with new BigQuery identity columns

Introducing TabFM in BigQuery: Predictive analytics reimagined

BigQuery Graph is now GA: the knowledge foundation for the agentic era

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