EnjoyTech

It was cloud then and it's Big Data now. Every time there's a new disruptive category it creates a lot of confusion. These categories are not well-defined. They just catch on. What hurts the most is the myths. This is the first part of my two-part series to debunk Big Data myths. Myth # 4: Big Data is about big data It's a clear misnomer. "Big Data" is a name that sticks but it's not just about big data. Defining a category just based on size of data appears to be quite primitive and rather silly. And, you could argue all day about what size of data qualifies as "big." But, the name sticks, and that counts. The insights could come from a very small dataset or a very large data set. Big Data is finally a promise not to discriminate any data, small or large. It has been prohibitively expensive and almost technologically impossible to analyze large volumes of data. Not any more. Today, technology — commodity hardware and sophisticated software to levera

Elevators suck. They are not smart enough to know which floor you might want to go. They aren't designed to avoid crowding in single elevator. And they make people press buttons twice, once to call an elevator and then to let it know which floor you want to go to. This all changed during my recent trip to Brazil when I saw the newer kind of elevators. These elevators have a common button panel outside in the lobby area of a high rise building. All people are required to enter their respective floor numbers and the machine will display a specific elevator number that they should get into. Once you enter into an elevator you don't press any numbers. In fact the elevators have no buttons at all. The elevator would highlight the floor numbers that it would stop at. That's it! I love this redesigned experience of elevators. It solves a numbers of problems. The old style elevators could not predict the demand. Now the system exactly knows how many people are waiting at what floor