It’s hard to imagine data warehousing without ETL (extract, transformation, and load). For decades, analysts and engineers have embraced no-code ETL solutions for increased maintainability. Does this ...

Mention ETL (Extract, Transform and Load) and eyes glaze over. The thought goes: “That stuff is old and meant for clunky enterprise data warehouses. What does it have to do with my ...

Microsoft has dabbled in the ETL (extract-transform-load) marketplace for a long time, in fact, almost 2 decades. Way back in the day, SQL Server shipped with a command-line tool known as the Bulk ...

In industries relying on up-to-the-minute insights, interruptions disrupt crucial processes, hindering timely responses to market changes and the accuracy of analytical outcomes. This can lead to ...

BlazingSQL builds on RAPIDS to distribute SQL query execution across GPU clusters, delivering the ETL for an all-GPU data science workflow. BlazingSQL is a GPU-accelerated SQL engine built on top of ...

SUNNYVALE, Calif., Feb. 23, 2011 (GLOBE NEWSWIRE) -- Queplix™ Corp., a leader in data virtualization, today announced two new product families that bring the power of data virtualization to the ...

Data Integration vs ETL: What Are the Differences? Your email has been sent If you're considering using a data integration platform to build your ETL process, you may be confused by the terms data ...

Third generation ETL tools are capable of handling structured data from different data sources including legacy systems such as mainframe and UNIX based application systems, spreadsheets, XML format, ...