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 ...
With the ink just drying on Google's recently-closed acquisition of Looker, all eyes are turning to BigQuery as to plans for expanding the platform's footprint. Feeding the anticipation is the fact ...
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 ...
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Google is pushing the bar on how teams work with their data. Today at its ...
Coinciding with the database improvements announced this morning during Google’s annual Cloud Next conference, the Mountain View company announced a slew of new capabilities heading to its data ...
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 ...
Success in Google Ads hinges on how well you use your data. With AI-driven features like Smart Bidding, traditional PPC tactics like campaign structure and keyword selection don’t carry the same ...
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