One of the barriers to entry for any new technology is entropy. Simply put, people are far too busy to take time out of their busy lives to learn new languages and new skills unless they have a compelling reason to do so. And it’s not just about staying up to speed on the latest and greatest innovations – it’s also about learning existing technologies that have been around for a while. That’s where open source tools are playing a critical role in helping engineers and programmers enter the world of mainframe cognitive computing.
Cognitive computing may be the future, but in certain industries it’s heavily tied to mainframes, which have been doing the heavy lifting for banks, insurance companies, governments, manufacturers, and other data-heavy industries for more than five decades. In this hybrid of the old and the new, a major gap is that today’s top programmers often have no experience working on the mainframe. And they certainly aren’t going to take the time to learn COBOL of any of the other languages that power big iron.
What if there was a way to let users take advantage of mainframes for cognitive without having to become mainframe experts? In fact, there is. Rocket recently made more than 30 languages and tools available to let anyone program a mainframe using the languages that they already know, from Python to R, from C to PERL. These allow developers working on cognitive systems to have full access to all relevant systems and data even if they’re not experienced mainframers. These free plugins let one developer or team do everything without having to take up mainframe administrator resources. It’s seamless and invisible at the front end.
For more information about how anyone can work a mainframe, please visit: 30 free open source tools and languages for IBM z Systems mainframes. These ported versions of popular development tools and programming languages have been modified to operate on IBM z13 and z13s systems, allowing developers to take advantage of mainframe programs and applications.
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