The heart of today's data warehouse, big data and analytics initiatives is based around databases. Analysts show that transactional data and log data are top two types of data used in big data initiatives despite the immediate association of social data and unstructured content. DB2 for z/OS by example is robust, scalable, secure and provides some of the best transactional integrity. With all of this Mike Ferguson analyst and consultant concludes in his white paper : "All of this makes IBM’s end-to-end big data offering in a System z environment a very competitive offering".
He looks at the following criteria as key factors that customers should evaluate when selecting a vendor
"The characteristics of Big Data, create a unique set of requirements that need to be met to analyse it. These include:
It's a lot for customers to consider but he explains it elegantly in the upcoming webcast "Transforming big data into insights : An independent consultant’s p..." June 24, 2014, 11:00am EDT
Mike will also discuss some of the key IBM solutions for System z and their potential to help clients meet the stringent requirements he lays out.
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