Classical approaches from the world of data warehouse and business analytics can quickly reach their limits: The data volumes are orders of magnitude larger than a few years ago, interesting data themselves are often unstructured, and their evaluation should be faster. Here are the big data associated with theories, methods and tools access.
And Big Data is definitely currently one of the IT-hype par excellence - all bad publicity in the wake of the NSA scandal notwithstanding. The support, for example, figures from market researchers who believe that the global market will grow around the necessary critical framework Apache Hadoop to 2016 to just over 810 million US dollars. The entire Big Data market is certainly already at a double-digit billion contribution - and rising. Many companies and organizations, including nearly all large see, there is tremendous opportunity to profit from the hype, but of course also to beat out the enormous increasing amount of data.