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 ...
Not all data lakes are created equal. If your organization wants to adopt a data lake solution to simplify and more easily operate your IT infrastructure and store enormous quantities of data without ...
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 ...
Global software house Microsoft is making big data the focus of SQL Server 2019, set for release later this year. A key part is data virtualisation, eliminating complex ETL processes. Microsoft says ...
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 ...
Instead of forcing enterprises to copy data into another cloud, AI Warehouse virtualizes what you already have — Oracle, PostgreSQL, SQL Server, MySQL, IBM DB2 and many more, instantly unifying them ...
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