Gemini inside BigQuery will aid with code generation, code completion, code explanation (SQL, Python), help with data canvas, and provide partitioning and clustering recommendations, said Gerrit ...

Google's new agents aren't chatbots. They're autonomous problem-solvers for the enterprise. Here's how they integrate with ...

Google is pushing the bar on how teams work with their data. Today at its annual Cloud Next conference, the internet giant announced major improvements for BigQuery — its fully managed ...

Data scientists will get access to what Google calls a “reimagined” AI-first Colab Enterprise Notebook experience available ...

Also read: Catching up with Google BigQuery Google has made clear that Omni isn't just a big branding exercise about connectors to S3 and ADLS (Amazon's Simple Storage Service and Azure Data Lake ...

Google’s data analytics platforms get a new ‘look’ with gen AI For data analytics, the big news is that Google’s Gemini AI capabilities are now available in BigQuery and Looker.

“The way we design BigQuery is way more than just a data warehouse. It’s an analytics system,” he said. “It’s what people want. What do I mean by that?

With BigQuery Studio, teams can directly access data wherever they’re working, Kazmaier says. And they have added controls for “enterprise-level” governance, regulation and compliance.

Brands. With this integration, Treasure Data can extract data from Google Cloud’s BigQuery, transform it using SQL or Python, and load it into Treasure Data for advanced analytics.