Google Simplifies Machine Learning With SQL Google BigQuery is making it possible for data analysts to deploy machine learning (ML) models using only simple SQL statements, potentially reducing the ML ...

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 ...

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 ...

Have you ever hesitated to explore powerful data tools because of the fear of hidden costs or complex setups? If so, you’re not alone. Many aspiring data enthusiasts and professionals shy away from ...

Google's new product changes add another valuable business intelligence integration in the marketplace. The best business solutions are like Jenga pieces — you need the right pieces to hold the stack ...

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 ...

Google is abandoning its homegrown SQL variant as the recommended default query language for its BigQuery service in favor of a new standard-compliant dialect in the works for the managed data ...

SAN FRANCISCO--(BUSINESS WIRE)--Alooma, the modern data pipeline company, today announced the integration of the Alooma service with Google Cloud SQL for PostgreSQL and Google Cloud SQL for MySQL.