We have heard enough about Big Data in the last few years. The technologies, the benefits, the big ideas etc. Now we are moving into the era of Application ie. how to realize the real benefits. Yes the Interprisers (Internet Companies) are in the fore front of using the various technologies and the data effectively since most of the current set of tools have their origins from these Interprising companies. The sucess of the current set of tools in the Interprises are because of the nature of the data they have to handle which is predominently unstructured. But when it comes to the real enterprises the challenge arises because of the nature of the data and the operations they perform on their data. The enterprise data are mostly structured and the operations performed on them are mostly relational. It does not mean Enterprises cannot benefit from using the Big Data technologies. The benefits a traditional enterprise would get using the current set of big data tools and technologies would not be same as what an Interprising company would be looking at. Hence enterprises need to have a different approach in using the technologies and tools. One of the key aspects will be looking at interoperability of the traditional big data tools sets like hadoop or nosql db’s etc with traditional Enterprise data management tools used for datawarehousing, ETL, BI related functions. Its critical that Enterprises have a clear principles to achieve the same.
Tag: #bigdata
Big Data – Expectations for this year
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 