Techniques( Big Data)

When Big-Data is really a hard problem?

• When the operations on data are complex:

                   Simple counting is not a complex problem Modelling  and Reasoning with data of different kinds can get extremely complex.

• Good news about Big-Data:

                   Often, because of vast amount of data, modelling techniques can get simpler(e.g. smart counting can replace complex model based analytics) as long as we deal with scale.



What matters when dealing with data?

• Research areas (such as IR, KDD, ML, NLP, SemWeb, etc) are subcubes within the data cube.