Open Source

Open Source on Steroids

The words “digital transformation” are on the lips of every person in technology and tech media, as well as many business leaders – from company CIOs and CTOs to technology to business line managers to writers in news publications and tech blogs.

At its core, a digital transformation is the enablement of technologies and workplaces tuned to today’s digital economy. The beating heart of this digital economy is the API, and is being followed now by emerging technologies like IoT (Internet of Things) and FinTech technologies like Blockchain.

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big data big opportunity

Big data – big opportunity

You’ve heard people talking about it and finally your organization has decided that there is a business case for going down that route, but what does big data involve? What do you need to know? After all, mainframes have always been able to store large amounts of data, and, importantly, retrieve that information quickly. Isn’t that what IMS databases were designed to do? Firstly, when you start Googling like mad to find out some information, you need to search for big analytics and perhaps even big workflows as well as just big data. But before you do that, let’s run over some basics.

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Big Data and the Mainframe

Big Data and the Mainframe: A Perfect Partnership

 

“Big data” and the impact of analytics on large quantities of data is a persistent trend these days in just about every organization. The general idea is that large amounts of data, from multiple sources, and of multiple types, can be analyzed to produce heretofore unknown insights about your business.

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