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 ...

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 ...

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 ...

Data analytics company, Hadapt, known for its data platform which merges SQL directly into Apache Hadoop, introduced a new “Schemaless SQL” addition to their technology portfolio which they say can be ...

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 ...

Amazon made a couple of announcements today at AWS re:Invent in Las Vegas that helps move data management toward a future without the need for extract transform load, or ETL. ETL is the bane of every ...

One of the key assumptions of the current business environment is that competence in using data to improve your business operations can be a source of competitive advantage. It doesn’t matter if you ...