Convergence of Hadoop, NoSQL and Cloud Computing

Convergence of Hadoop, NoSQL and Cloud Computing

Big Data is really causing a buzz these days. This term is being used for data sets that are so large and/or complex that traditional data processing application software(s) struggle to deal with them. Primary challenges with these data sets include capture, storage, analysis, data curation, search, sharing, transfer, visualization, querying, updating and information privacy. Some of the tools to handle Big Data challenges include Hadoop MapReduce and NoSQL. A key point to note is that these two tools (NoSQL and Hadoop) are not competitors and a good design capable of handling high volume of data and providing analytics often utilizes both.

 

To help understand the role of Cloud Computing in handling Big Data we can say that Big Data represents the content while Cloud Computing is the supporting infrastructure.

 

Big Data technology is being extensively used in enhancing cyber security, IT log analytics of various applications, fraud detection, social media analysis, monitoring patient vitals, healthcare intelligence and a vast number of additional utilities.

 

It’s a fast-emerging area with large number of job opportunities. I strongly recommend students to develop a strong understanding of these emerging technologies.