There has been a great push related to big data technologies and applications in the past years. Since most of these technologies have evolved from the Web and Social Media world there has been some challenges in applying the same in enterprise space for few key reasons. Enterprise data are mostly structured and since most of the current big data related technologies focus in resolving the handling of unstructured data it has been difficult for enterprises to come up with justifiable business case to use big data technologies. One of the use cases enterprise tend to look at is to get insights of their customers by combining the current structured data they own with the social media data of their customers. This also has its challenges since enterprises do not have information and access to their customers social media identity. Hence currently enterprises who are looking at big data technologies are purely looking to use it for the purpose of cost savings rather than using it for revenue generation. Hence I am looking forward to this year for companies to come out with technologies that enterprises can really use it for direct business benefits rather than it being just used as a infrastructure component to reduce costs.
One more area were is see lot of activities will be related to stream computing. Lot of moment has been generated last year with technologies like Storm, Spark , Splunk etc. I am looking forward to see how these technologies are going to be applied in enterprises. These technologies have great potentials to help enterprises in the real of real time decision making.
Sri Rajalingam 