As to understand what is Hadoop, we have to first understand the issues related to Big Data and traditional processing system. Advancing ahead, we will discuss what is Hadoop, and how Hadoop is a solution to the problems associated with Big Data. We will also look at the CERN case study to highlight the benefits of using Hadoop.

Big Data is emerging as an opportunity for organizations. Now, organizations have realized that they are getting lots of benefits by Big Data Analytics, as you can see in the below image. They are examining large data sets to uncover all hidden patterns, unknown correlations, market trends, customer preferences and other useful business information.

These analytical findings are helping organizations in more effective marketing, new revenue opportunities, better customer service. They are improving operational efficiency, competitive advantages over rival organizations and other business benefits.

Hadoop is an open source distributed processing framework that manages data processing and storage for big data applications running in clustered systems.

The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.

What is Hadoop Hadoop is not a type of database, but rather a software ecosystem that allows for massively parallel computing. It is an enabler of certain types NoSQL distributed databases (such as HBase), which can allow for data to be spread across thousands of servers with little reduction in performance.

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