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 ...

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 ...

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 ...

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 ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

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.

Business happens in real time but many business systems don’t. It’s time to move past client-server databases, data warehouses, and batch processes. Businesses are 24/7. This includes everything from ...

Data ingestion and ETL are often used interchangeably. But, they’re not the same thing. Here’s what they mean and how they work. Today’s businesses have increased the amount of data they use in their ...

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 ...