Cloud computing and the rise of big data
October 1, 2013
Grazed from TechRepublic. Author: Nick Hardiman.
The cloud enables big data processing for enterprises of all sizes by relieving a number of problems, but there is still complexity in extracting the business value from a sea of data. Cloud computing democratizes big data – any enterprise can now work with unstructured data at a huge scale. At first glance, it isn’t obvious why the unstructured data methods of the new big data world are even necessary. Even if new methods bring new business value, why not stay on-premise? Why bother with cloud databases?
The big data label
Big data is one of those new, shiny labels, like SDN, DevOps and cloud computing, that is both hard to ignore and hard to understand. There is no single “big data” type – it is a collective label stuck on unstructured data, the technology stack it inhabits, and the new business processes that are growing up around it…
For instance, the discipline of big data analytics is about getting business value out of large data sets. Data scientists work with resources and processes to turn data into useful information. The classic RDBMS (Relational DataBase Management System) can handle a lot of data, and has been doing so for decades. Why can’t a data scientist stick with structured data in an RDBMS? Which is best – RDBMS or NoSQL?…
Read more from the source @ http://www.techrepublic.com/blog/the-enterprise-cloud/cloud-computing-and-the-rise-of-big-data/