In modern data infrastructures, data comes from everywhere: business systems like
CRM and ERP, sensors used to gather machine generated data, tweets and other social
media data, Web logs and data streams, gas and electrical grids, and mobile networks
to name a few. With all this data from so many places, companies often face challenges
in simply storing and managing these volumes, never mind performing analytics on
that data.
To manage the volume, velocity, and variety of the data, newer, more innovative
Big Data analytics platforms have emerged to keep up with the sheer size and complexity.