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.

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 ...

Amazon Aurora PostgreSQL, Amazon DynamoDB, and Amazon RDS for MySQL zero-ETL integrations with Amazon Redshift enable customers to analyze data from multiple sources without building and maintaining ...

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 ...

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 ...

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, ...

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 ...