Hadoop distributed file systemcan be described as batch processing infrastructure which is essential for set up which have numerous computers. The efficiency of this system can best be tested in a network consisting of thousands of computers.

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Benefits Of Hadoop Distributed File System

In these times of technology advancement people need to process large sets of data’s. They also need to work on network with a large number of computers to which the processed data needs to be distributed. In order to be able efficiently distribute these large data’s you require hadoop distributed file system (HDFS). It can be described as batch processing infrastructure which is essential for set up which have numerous computers. The efficiency of this system can best be tested in a network consisting of thousands of computers.

The benefits of using hadoop can be understood better by knowing the kind of tasks that are running on this system.

• Web Analysis and log file -Companies like facebook use this system to process the large amount of data generated about the visitors on their site which could be more than hundreds of gigabytes. Their log files contain information about user’s interaction with the site and help in detecting suspicious activity or attack on the site. A smart and efficient system like hadoop is required to store data of a large database like facebook.
• Website advertising -Advertising networks also find hadoop useful as they need to collect millions of data to provide information to clients about user’s response to a particular advertisement. They analyze the clicks on each ad to determine when and where these need to be displayed.
• Scientific applications – hadoop also has uses in practical scientific applications i.e. in biochemistry, physics, genetic research etc where large amount of data needs to be analyzed.
• Search engines –Search engines need to index and search through large amount of data’s. Amazon too uses this system to search for the various products they have on offer for their customers.
• Financial Analysis – Large sets of stock prices or transactions can be analyzed using hadoop. Investors can pick better stocks as hadoop helps in detecting fraud and discovering stock trends. It also helps in transactions and stock analysis of large organizations.

HDFS also has the capacity to store and process vast amount of information, irrespective of the operating system being used by you. It functions on the basic idea that large problems can be tackled by many computers by splitting them into smaller pieces or clusters. A lot of effort and time was taken to develop such an efficient system which ease out process and bring efficiency in business outcomes. A set of monitoring tools are also offered by hadoop which check the health of clusters.