A process in which big data( bulk of data) is examined to uncover hidden patterns and other useful business information.\nGenerally, this is done with the help of big data analytics tools that support both predictive and prescriptive analytics applications running on the data.\n
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Capacity to store and process huge amount of any sort of information rapidly makes Hadoop an important tool. With data volumes and assortments continually expanding, particularly from social media and online networking, Hadoop makes it easier to manage all sorts of data.
Hadoop features distributed model of computing big data which in turn makes Hadoop a reliable data storage medium. The more computing nodes you use the more processing power you have.
Data and application handling are ensured against hardware failure. If any of the data hubs goes down, work is automatically redirected to other data nodes to make sure the distributed computing does not fail. Various duplicates of all information are put away consequently.
Hadoop allows you to store as much data as you want to and decide how you want to use it later. Unlike other databases, you don’t have to preprocess data before storing it. That includes unstructured data like text, images, and videos.
The Hadoop open-source framework is free and uses commodity hardware to store large quantities of data.
Grow your system easily by adding nodes to it for more data handling. The little administration is required.