On one hand IT systems are grappling with deluge of data and are scrambling to put systems in place to make sense out of it. On the other hand we have now almost every object surrounding us capable of generating data. As an example take a look at these seemingly trivial objects : Toothbrush, shoe, helmet, power hammer, digital photo frames, medicine dispensing box, on site construction machinery, room heaters, washing machine, refrigerators, pollution sensors and the list goes

During the last couple of months, I have been busy travelling across ASEAN and India to meet customers and prospects. I could see that MongoDB has created a certain buzz. The fact that it can very well co-exist with other evolving open source technologies e.g. PostgreSQL and Hadoop has made it even more loved among the data scientists and big data groups. But surprisingly, I came across a group of "unhappy" and "dissatisfied" users of MongoDB

"You know what, I like you because you come from a Data background. You are very strong in Data Strategy Consulting". I was sitting with the Enterprise Architecture and Solutions Director, of one of the biggest logistics firm. He continued, "Everybody in our organisation thinks about solutions first and then data strategy comes as a by-product, without much thought behind it. However, that has created so many inefficiencies and silos in the data sources. We are sitting on piles of data today. There are all sorts of RDBMS, No-SQL databases, unstructured data sources.