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Q. How is this different from what your competition offers?
A. It's different in a number of ways. There are definitely different takes on Big Data and how it should be used. A lot of companies that have adopted Hadoop and believe in that open-source technology. Their message is essentially, "Listen, Hadoop is the cheapest and most cost-effective way of analyzing big volumes or variety of data, so dump everything in there and analyze it."
We're different because we're saying, "Hang on a second. It is a very cost-effective way to analyze a huge volume of data. But what if I could tell you by looking at your existing sources whether or not it was valuable and do discovery and what if I could analyze data in motion with streaming analytics and determine what needs to be persisted or just simply find insights themselves?" That makes IBM extremely unique.
We are very dedicated to adding analytics to Big Data technology. We don't see it as a simple pre-processing tool in order to get everything into a relational data warehouse and analyze it. Relational warehouses absolutely are part of our Big Data platform and they are very good at management and planning type scenarios. So deep analytics, forecasting, historical analysis -- you need a structured warehouse to do those things and it has to be able to handle Big Data volumes.