September 20, 2012–Beye Network recently reported on an interview with John Whittaker from Quest Software on why successful big data analytics requires integrating data from a multitude of sources, in the article “Data Integration for Big Data Analytics: A Q &A Spotlight with John Whittaker of Quest Software”
According to the article, Quest Software’s TOAD product solution is used by many different companies to manage and create a relational database that meets the access needs of businesses while maintaining the governance that IT security requires.
When asked why big data integration is such a necessary component in any conversation regarding big data, Whittaker said:
“One of the big aspects that people are trying to get a handle right now, and one of our major uses, is big data analytics. Once you get beyond the Google or Facebook use cases and start talking about how the rest of us will use big data, it is going to be analytics. Whenever you’re doing analytics, you want to marry information from different sources. You might want to be able to correlate what’s happening within your ERP and the operational data that might exist there, with experiential data from your website. The operational data often tends to reside in relational databases, but when you’re talking about experiential data, about how people are utilizing your website or what people are saying on social media about you, that sort of data resides within the unstructured big data world of Hadoop. It’s really about being able to marry these sources together into one environment and drive better decisions based on the information there is the primary value that the big data environment is going to provide for the normal enterprise.”
Another company that offers an affordably priced and secure data analytics solution is Digital Reasoning. This company’s flagship product Synthesys uses patented entity oriented analytics to transform raw data into actionable intelligence without external data models or human effort to prepare all forms of text data – both unstructured and structured.