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 ...

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 ...

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 LLC today announced new capabilities for customers to harness their data in the cloud for use with generative artificial intelligence. The additions include new tools from the company’s Google ...

eSpeaks' Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

Google was sitting on two massive collections of data describing its App Engine, a web service where software developers can build and deploy online applications. One data set described the way people ...

Google today announced a major update to BigQuery, its cloud-based service for analyzing large amounts of data using SQL, making it more suited to analyzing real-time data. Starting today, BigQuery ...

In the world of data analysis, advanced SQL techniques are essential for extracting valuable insights from complex datasets. This comprehensive guide by Chandoo delves into these powerful techniques, ...

A look at the evolution of the data landscape, how technology is helping businesses solve for now, and how the data analysis that’s possible today can provide us with a new understanding of how we, as ...

Editor's note: The author, Pierre DeBois, will be speaking at next month's CMSWire Connect conference in Austin, Texas, on the subject of migrating from Universal Analytics to Google Analytics 4.