Infrastructure Services are definitely undergoing a major transformation. How does one navigate the web of emerging technology trends and stay ahead of the game? Read on to learn more on our Infra Matters blog.

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Infrastructure and Big Data analytics

Posted on behalf of Debashish Mohanty, MFG

The internet has spawned an explosion in data growth in the form of data sets, called Big Data, which are so large they are difficult to store , manage and analyze using traditional DB and Storage architecture. Not only is this new data heavily unstructured, it is voluminous, streaming rapidly and is difficult to harness.

In this blog post, I describe the impact of this trend on IT Infrastructure. The gamut of IT infrastructure around Big Data can be placed in these primary segments:
  • Cloud Infrastructure
  • Virtualization
  • Networking
  • Storage  :In memory Data Base, Tired Storage Software ,DE duplication, Data Protection

Big Data IT infrastructure typically includes HDFS(Hadoop Distributed File System) and MapReduce computing models. apart from these, the storage infrastructure itself has to be revamped to keep up with computing requirements.

The magnitude of the changes required in the IT Infrastructure is huge and definitely requires validation to ensure proper functioning in a controlled manner in production environments. Infrastructure testing for Big Data can help ensure that the underlying Hadoop Distributed File System and MapReduce models integrate seamlessly with other infrastructrue elements. This is critical to ensure uptime of all systems and  


Click here to read my earlier post.


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