What Do You Do with Data

Lets take an example:

                 Ø From application developers to video streamers, organizations of all sizes face the challenge of capturing, searching, analyzing, and leveraging as much as terabytes of data per second—too much for the constraints of traditional system capabilities and database management tools.”

Why Big Data ?

§  Key enablers for the appearance and growth of ‘Big-Data’ are:

+     Increase in storage capabilities

+     Increase in processing power

+     Availability of data

When dealing with Big Data is hard:   

§  When the operations on data are complex:

–     Eg. Simple counting is not a complex problem.

–     Modeling and reasoning with data of different kinds can get extremely complex

§  Good news with big-data:

–     Often, because of the vast amount of data, modeling techniques can get simpler (e.g., smart counting can replace complex model-based analytics)…

–     …as long as we deal with the scale.