When Google first released BigQuery ML, it was accompanied by much buzz, but experts said the suite of SQL extensions has since been eclipsed by other automated machine learning platforms. Many are ...

Google has released a beta version of BigQuery ML, new software that lets users build some machine learning models inside the Google BigQuery cloud data warehouse with standard SQL commands. BigQuery ...

Looker is integrating its platform with Google Cloud BigQuery ML (BQML), accelerating the time-to-value of data science workflows. With Looker and BigQuery ML, data teams can now save time and ...

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. The ...

One key to efficient data analysis of big data is to do the computations where the data lives. In some cases, that means running R, Python, Java, or Scala programs in a database such as SQL Server or ...

TabFM could simplify and make predictive analytics cheaper by removing model training and deployment costs, but enterprises may not see the same savings across every workload. Google is adding a ...

At it Cloud Next conference in San Francisco today, Google is announcing new machine learning (ML) capabilities in its BigQuery cloud data warehouse service. This new service within a service is, ...

There are still a lot of obstacles to building machine learning models and one of those is that in order to build those models, developers often have to move a lot of data back and forth between their ...