SQL is not confined to the traditional relational database systems (RDBMS) and data warehousing solutions. SQL-on-Hadoop engines run on top of distributed file systems to help process big data and ...

Here are common strategies for this process: 1. Version Control For ETL Code Change tracking detects changes in ETL code, ensuring a comprehensive record of modifications made over time.

What are the main differences between ETL and ELT? Use our guide to compare ETL and ELT, including their processes, benefits and drawbacks.

VirtualETL™ and CloudETL™ radically simplify the ETL process, enabling users to configure Queplix's Application Software Blades™, providing easy and automatic connections to target ...

One of the messages to emerge during the AWS re:Invent gathering in Las Vegas this week is that Amazon is declaring war on the need to extract, transfer and load data. The ETL process has been a ...

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.

BlazingSQL builds on RAPIDS to distribute SQL query execution across GPU clusters, delivering the ETL for an all-GPU data science workflow.