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 ...

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 ...

SANTA CRUZ, Calif.--(BUSINESS WIRE)--Looker, a leading data platform company, today announced an integration with Google Cloud BigQuery ML (BQML) that accelerates the time-to-value of data science ...

Google has now added machine learning (ML) capabilities to its Google BigQuery, the company's petabyte (PB)-scale cloud database offering. Now dubbed BigQuery ML, the new version lets you use simple ...

Two of the greatest obstacles to getting started with today’s deep learning systems have been the lack of truly “point and click” interfaces to creating new models and the immense complexities in ...

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, ...

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 ...

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 ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. In this episode, Thomas Betts chats with ...

Perhaps the greatest challenge confronting today’s “big data” era lies not the acquisition of data, but rather how companies can uncover insights from the chaos of petabytes. Today’s companies have ...