The lifeline for any business intelligence solution is the process called extract, transform, and load (ETL). According to a recent survey by The Data Warehousing Institute (TDWI), ETL design and ...

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 ...

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 ...

If you’re considering using a data integration platform to build your ETL process, you may be confused by the terms data integration and ETL. Here’s what you need to know about these two processes.

Through education and consulting work, Kimball Group has been exposed to hundreds of successful data warehouses. Careful study of these successes has revealed a set of extract, transformation, and ...

Data integration and processing is a complex challenge enterprise IT organizations face when they manage microservices applications at scale. Modern microservices applications process data from a wide ...

BearingPoint’s Shruti Goyal talks about zero-copy architecture and why it’s ultimately a game-changer for data teams. The world of data architecture, according to Shruti Goyal, has been defined by one ...

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 ...

I am looking for help regarding the ETL process. I have raw data and I want to transform it in MySQL to remove data errors. What is the process for doing this? If you Google for extract, transform and ...

What are the main differences between ETL and ELT? Use our guide to compare ETL and ELT, including their processes, benefits and drawbacks. The E, T and L in both ETL and ELT stand for extract, ...