Latest updates for Big Query

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Recent items include:

  • Synthesize the big picture and analyze trends with BigQuery's AI.AGG function
  • From petabytes to predictions: Easy BigQuery insights in Google Sheets
  • How to Analyze and Govern Gemini Enterprise App Usage at Scale with BigQuery

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Fresh articles and ideas

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cloud.google.com /2 weeks ago

Synthesize the big picture and analyze trends with BigQuery's AI.AGG function

We recently announced the preview of the BigQuery AI.AGG() function. With AI.AGG(), you can use natural-language instructions within a single line of SQL to summarize or synthesize...

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cloud.google.com /1 month ago

From petabytes to predictions: Easy BigQuery insights in Google Sheets

Many organizations’ single source of truth is data that resides in BigQuery, Google’s governed, secure and petabyte-scale data platform. However, the "last mile" of ad-hoc analysis...

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cloud.google.com /12 hours ago

How to Analyze and Govern Gemini Enterprise App Usage at Scale with BigQuery

Deploying the Gemini Enterprise app across an organization marks a transformative leap forward in workforce productivity, providing employees with an amazing, high-performance suit...

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javacodegeeks.com /3 weeks ago

Data Processing in GCP With Apache Airflow and BigQuery

Modern data engineering rarely lives on a single machine. As datasets grow from gigabytes into terabytes — and sometimes into petabytes — teams need orchestration tools that can sc...

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databricks.com /2 weeks ago

Granular Usage Attribution for dbt Pipelines with Query Tags

Your dbt project runs 80 models every night. The warehouse bill doubled last quarter....

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cloud.google.com /2 weeks ago

Conversational analytics in BigQuery brings trusted agentic reasoning to everyone

Businesses run on fast decisions, but the teams who hold the answers are often buried under a backlog of routine requests, leaving users waiting in line for insights they need now....

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databricks.com /1 month ago

Query Tags: The Context Your Warehouse Queries Have Been Missing

Databricks SQL logs key attributes of every query automatically: who ran it, on which...

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cloud.google.com /3 weeks ago

Boost BigQuery with Python: Managed Python UDFs now generally available

SQL is the industry standard for high-performance structured data analysis. However, expressing complex procedural logic, scientific computations, advanced string manipulations, or...

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cloud.google.com /2 weeks ago

Scaling Network Analysis for Fraud Prevention with BigQuery Graph

Based in the UK, Curve are building a financial super-app, a smart wallet that consolidates all your debit and credit cards into a single app and card, simplifying how millions of...

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cloud.google.com /1 month ago

Modeling a digital twin of a food supply chain using BigQuery Graph

The example of a growing restaurant Imagine you are running a restaurant chain. You just can't physically feel and touch things to know how your business operates. You need tools a...

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databricks.com /1 month ago

Geospatial Unbounded: Spatial SQL GA with AI/BI Maps, Delta Sharing, and Iceberg v3

A hurricane is forming in the Florida Gulf. As an insurer, you need to answer key...

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databricks.com /1 month ago

Ingesting the Milky Way: Petabyte-Scale with Zerobus Ingest

Telemetry data is everywhere. IoT sensors on factory floors. Satellite arrays scanning...

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cloud.google.com /1 month ago

Deep dive: How Lightning Engine delivers 4.9x faster Apache Spark performance

From foundational ETL and analytics to the frontier of generative AI, Apache Spark serves as the architectural backbone for global data processing. However, as data volumes scale,...

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cloud.google.com /4 weeks ago

Introducing new Explores and Merge Queries in Looker

A key goal for many enterprises in the AI era is to empower their employees to uncover actionable data insights on their own. To help, we are evolving Looker Explore with a streaml...

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cloud.google.com /1 month ago

Beyond the Query: 5 Scenarios Laying the Foundation for the Agentic Era

Accessing enterprise data is shifting from static reports to dynamic use by autonomous systems. To keep up, organizations must route fragmented data from SaaS, IoT, and legacy sour...

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aws.amazon.com /1 month ago

A systematic approach to benchmarking SQL processing engines on AWS

Selecting the right SQL processing solution for large-scale data analytics is a critical decision for organizations. As data volumes grow exponentially, the technology landscape ha...

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aws.amazon.com /3 weeks ago

AI-powered BI with Snowflake and Amazon Quick

In this post, you will learn how to build an end-to-end integration between Snowflake semantic views and Amazon Quick. The sample data is user review data for a media company. You...

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theregister.com /3 weeks ago

The new database world according to Google: Inexact queries and AI in everything

'Humans are not going to be using data platforms in the next three to five years,' product exec tells us

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cloud.google.com /2 weeks ago

From query to action: Introducing SQL alerting in Cloud Monitoring Observability Analytics

Traditional alerting systems often force a compromise: you can either alert immediately on simple, noisy log events, or monitor rigid, pre-configured metrics that fail when faced w...

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dataengineeringcentral.substack.com /1 month ago

Benchmarking Vortex File Format ... vs Parquet, CSV ... vs DuckDB, Polars, Datafusion.

just because we want to make em' mad

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cloud.google.com /1 month ago

Evolving Dataflow to process massive datasets for machine learning

Google created MapReduce more than 20 years ago to solve the scaling problems in data processing that the then young company was running into. The AI era that we are in now demands...

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databricks.com /1 month ago

BI Serving Pointers; Maximizing for Performance and TCO

Your BI dashboards are slow, and tuning them is costing too much time and money.It's...

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dev.to /1 month ago

Performance and Apache Iceberg's Metadata

This is Part 3 of a 15-part Apache Iceberg Masterclass. Part 2 covered the metadata structures of all five table formats. This article focuses on exactly how query engines use Iceb...

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dzone.com /1 week ago

Apache Spark Query Optimization on Databricks: Catalyst, AQE, and Photon Engine

Why Query Optimization Matters A Spark query written by a human and a Spark query executed by the engine are often very different things. The gap between them — the optimization —...

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Sources covering Big Query

feeds.dzone.com

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aws.amazon.com

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aws.amazon.com

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cloudblog.withgoogle.com

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dataengineeringcentral.substack.com

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dev.to

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