While Hadoop provides the ability to store this large scale data on HDFS (Hadoop Distributed File System), there are multiple solutions available in the market for analyzing this huge data like MapReduce, Pig and Hive. Hadoop is undoubtedly the preferred choice for such a requirement due to its key characteristics of being reliable, flexible, economical, and a scalable solution. from all different sources, there is a huge demand to efficiently store, process and analyze this large amount of data to make it usable.
Since data is being generated in very huge volumes with great velocity in all multi-structured formats like images, videos, weblogs, sensor data, etc. With rapid innovations, frequent evolutions of technologies and a rapidly growing internet population, systems and enterprises are generating huge amounts of data to the tune of terabytes and even petabytes of information.
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