The ever-changing scenario of business has data in today’s picture. Several companies and startups are spinning gold through data-mining. Be it market or business research, the outsourcing units are developing business intelligence. And for that, all they want is data. Finding data in desirable format is next to impossible. However, it’s an overwhelming data set (that’s why it is called big-data) but the usable part needs conversion. Take an example of an ocean. Although it has opulent water yet it’s saline. It needs conversion from saline to potable for usage. Likewise, big-data also requires transformation. The smart and adept data mining experts extract the relevant part from its gigantic structure (but not the entire). Then, data conversion comes into picture. It is so because converted version is easy to retrieve and store. Now , let’s take a roundup of how to do preparations for data conversion. Cataloguing: If one has an idea of how much data should be con