As your enterprise moves toward being data driven, the ability to derive a domain ontology from your company’s data will become ever more important. In order to move to this deep analytical process, it is important to understand the amount of data required and the state the data must be in before you should attempt any deep analytics studies.
When you read the marketing spin on Big Data and the tools available today, you may deduce that there is much upside and not much downside to implementing a Big Data project. Nevertheless, you will quickly find that this is not the case. It’s not as simple as typing “apt-get install Hadoop” into a Linux command window, everything installs, you ask it complex questions, and it gives you sage advice. It is tough to get a Big Data project working.