Big Data Processing with Hadoop-MapReduce in Cloud Systems

Provided by: Institute of Advanced Engineering and Science (IAES)
Topic: Cloud
Format: PDF
Today, the people are surrounded by data like oxygen. The exponential growth of data first presented challenges to cutting-edge businesses such as Google, Yahoo, Amazon, Microsoft, Facebook, Twitter, etc. Data volumes to be processed by cloud applications are growing much faster than computing power. This growth demands new strategies for processing and analyzing information. Hadoop-MapReduce has become a powerful computation model addresses to these problems. Hadoop HDFS became more popular amongst all the big data tools as it is open source with flexible scalability, less total cost of ownership & allows data stores of any form without the need to have data types or schemas defined.

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