Hadoop Bigdata

Hadoop Bigdata Introduction:

Hadoop is the core platform for structuring Big Data. It also solves the problem of formatting it for analytic purposes. Hadoop uses a distributed computing architecture consisting of many servers using commodity hardware. This intern makes it inexpensive to scale and support massive data stores.

Overview Of Hadoop Bigdata Job Support:

Hadoop is a  open source framework which allows to store & process big data in an distributed environment across the clusters of computers by using the  simple programming models.  The Hadoop is the well-known technology that is used for the  Big Data.   It can provide you with the massive storage for every type of data, huge processing power & potential to handle the limitless concurrent tasks & the jobs.

It is designed to scale up from single servers to the thousands of machines, by each offering local computation & storage.  The Big data is very important as most of the major industries have already started using it in their work place . The data can be from any of the sources which are then analyzed which enables the cost reduction, smart decision making, time reductions & the new product development.

Due to the advent of the new technologies, devices, &  communication means like social networking sites, the amount of data produced by the  mankind is growing rapidly every year.

The amount of data produced by us from the beginning of time till the 2003 was 5 billion gigabytes. If you pile up the data in the form of disks it may fill an entire football field. The same amount was created in every two days in 2011,&  in every ten minutes in 2013. This rate is still growing enormously. Though all this information produced is meaningful &  can be useful when processed, it is being neglected

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