Hadoop wishes to access a file on the

Hadoop is an open source, Java- based programming framework that supports the processing and storage of extremely large data sets in a client/server based application that allows clients to access and process data stored on the server as if it were stored on their own computer system. If a user wishes to access a file on the server, the server would send the copy of that file to the user, the file is temporarily stored on user’s computer, while the data is processed and is returned to the server.With the help of Hadoop, it is now possible to manage applications with large number of hardware nodes and handle thousands of terabytes of data. The reason behind fast data transfer rates among the nodes is its distributed file system.

And due to the distributed file system, even if a node fails, the system operates normally which prevents any data loss.Hadoop is popularly known to be used for big data analytics. Big data is a collection of data sets that are so large and complex that it is difficult to analyse them with traditional data analysis softwares.The idea of Hadoop was inspired by Google’s MapReduce. Hadoop also uses the same methodology, i.e. an application is broken down into several parts which can then run on any node.

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Currently, many organisations and companies are struggling to manage such large amounts of data. With terabytes of data flowing in every minute it is a very difficult task to manage, process and analyse data. But Hadoop helps in dealing with this problem as it has a range of open source softwares for processing, managing and analysing data.Hadoop is flexible to use, i.e a user can swap out almost any of its component for a different software tool.

At the same time it is also designed to be robust, in that Big Data applications will continue to run even when individual servers or clusters fail. And it’s also designed to be efficient, because it doesn’t require applications to shuttle huge volumes of data across your network.Following are some of the advantages of using Hadoop:The data is processed very efficiently and effectively.

It can process terabytes of data in minutes.One can easily scale to thousands of servers with a single Hadoop cluster.There is no loss of data. Even if one node fails, the information is transferred to another node.

Earlier when data was stored in warehouses, the format needed to be changed which resulted in data loss, but this is not the case with Hadoop.Hadoop is cost effective, it is an open source framework and hence is free.Some of the uses of Hadoop are:Hotels booking applications , as large amount of information is being surfed every second  and the number of people is also very large. Hadoop helps to provide better service to every person.E-commerce companies like Amazon, Flipkart, M&S. Hadoop helps in analysing choices of the customers so that they can provide better service to the customers in future in order to retain them.Flights and Railway bookings sites.

As the number of people and data is so large , using Hadoop ensures that each customers get proper service.