Tired of limited lookback windows and siloed reports? Use BigQuery for advanced attribution, multi-account aggregation, and ...

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. This process ...

The highlight of today’s announcements is specialized agents integrated into Google Cloud’s BigQuery and Looker ... developers to write and execute Python code in a browser.

With the rise in the volume of data, Google Cloud Next is expected to unveil updates and new features for BigQuery ... AI agent in fewer than100 lines of Python code. It expects to add support ...

Buried in that mountain of news, which included new AI chips and agentic AI capabilities, as well as database updates, Google Cloud also made some big moves with its BigQuery data warehouse service.

Other updates to BigQuery include the general availability of Google Cloud for Apache Kafka to facilitate real-time data streaming, analytics; and the addition of serverless execution of Apache ...

PuppyGraph earns Google Cloud Ready designations for BigQuery and AlloyDB, expanding native graph analytics to two of Google Cloud’s most important data platforms. PuppyGraph, the first real ...

The Google Cloud Ready - BigQuery designation provides Treasure Data with more opportunities to collaborate with Google Cloud's partner engineering and BigQuery teams to develop joint roadmaps.