Sometimes the prime reasons behind something success can be staring you correctly in the face. The biggest motivator in the market is simple for Hadoop. Files storage was costly before Hadoop.
The distributed file system is that far-flung range of storage clusters pointed above, i.e. the Hadoop material which holds the real data. Hadoop utilises the cleverly named HDFS (Hadoop Distributed File System) by default, albeit it can use other file systems also.
HDFS is quite like the bucket of the entire system: you dump in the files and it sits there all cosy and nice until you want to do something with it, be that is running an analysis on it or exporting and capturing a set of various files to another tool and the functioning the analysis there.
You cannot have a conversation regarding big data for very long without running into the elephant in the room, i.e. Hadoop. This open-source software platform handled by the Apache software has proven to be very useful in storing and handling huge amounts of files effectively and inexpensively.
Big data refers to an ever extending ocean of digital files. Because of the interconnected technical developments in numerous sectors ranging from business to share market, and education to the social networking as well, today the digital globe is inundated with data that is very difficult to handle and analyse. In accordance with a measure, the universal data volume was 1.8ZB in 2011, which is predicted to grow 5 folds in following two years. In this type of scenario, every company or individual who can utilise this humongous data smartly will always have an upper hand over every competitor. This has led to many understand that their future lies in big data and innovation on the same has already begun. Hadoop is one of the biggest names in big data technologies.
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