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 ...

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 ...

eWeek content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More All data is created in one place and moved–sometimes very ...

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 ...

As the volume, velocity, and variety of data continue to accelerate, developers are facing a critical shift: data is no longer just stored and queried--it's constantly on the move. From traditional ...

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See whether Databricks or Snowflake is the better ETL tool for you using our comprehensive guide to compare their features, pricing and more. With more and more solutions entering the enterprise ...

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 ...

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 ...

A metadata-driven ETL framework using Azure Data Factory boosts scalability, flexibility, and security in integrating diverse data sources with minimal rework. In today’s data-driven landscape, ...