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.

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

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

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 ...

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

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.