ETL tools are the most common category of data integration tools commercially available. Every enterprise-systems vendor sells half a dozen different ones. They have lots because they acquire smaller companies that have various innovative products, those products always need ways to get data in, so those smaller companies have to have their own ETL tool, and when acquired that one adds to the proliferation.
DFDL is a response to this endless proliferation of ETL tools, handling the most challenging aspect of the problem, which is the data format description aspect. (The transformation problem is also significant, but there are *some* standard technologies for it ,e.g., XSLT or XQuery.) ________________________________ From: Costello, Roger L. <[email protected]> Sent: Monday, June 3, 2019 11:52:53 AM To: [email protected] Subject: DFDL versus ELT (Extract, Load, Transform) Mike Beckerle wrote: * They are a major thing that make DFDL more powerful, especially when unparsing, to existing technology for "ETL" and data integration. What is the relationship between DFDL and ELT (Extract, Load, Transform)? I am guessing that this might be a common question. It might be good if I created a few slides. But first I need to understand the relationship. Can you help, please? /Roger
