In a new Q&A from The Register, host Tim Phillips talks to Geeta Banda of Google about how it is reimagining BigQuery as a ...

BigQuery ML (Machine Learning) was officially released in 2019. It allows users to create and execute machine learning models in BigQuery using the Google Cloud console.

Google’s history of machine-learning research increasingly informs its cloud product development strategy, and it introduced a preview of machine-learning capabilities for its BigQuery data ...

Learn how to use AI chatbots like ChatGPT to run complex BigQuery queries for SEO reporting. Boost your strategic decision-making and reduce manual tasks.

AI agents are now emerging as a practical way to automate much of this heavy lifting. In a new Q&A video from The Register, ...

Google is adding machine learning capabilities to its BigQuery cloud data warehouse service. Looker is integrating with those capabilities, and making them more accessible to business users.

BigQuery ML also promises to make it easier to build these models, even for developers who don’t have a lot of experience with machine learning.

Among the many announcements from last week’s Google Cloud Next event was a noteworthy update to Google LLC’s BigQuery, adding machine learning capabilities to the SQL data warehousing tool ...