Why do giant corporations require Big Data?

Organizations, now a day, create 2.5 Quintilian bytes of data.  Can you believe that 90% of the data in the world today has been set up in the span of last two years?.  Now the question arises that what is Big Data? Big Data is a huge volume of unstructured and structured data. This data is what enterprises collect on a day to day basis. The magnitude of data is not the vital part, but the information collected from that data is comprehensive. Analyzing and collecting Big Data provides organizations enhanced insight, process automation and decision making.


What and how do the organizations do with big data?

Such enormous data need to be processed in order to make critical predictions by segregating  through and analyzing big data. Here, Hadoop comes into the picture for structuring big data. Aligning unstructured data to make it suitable for data analysis as well as for mining. It also addresses the concern of formatting it for analytic requirements. Hadoop employs a distributed computing architecture comprising of various servers by using commodity hardware. This makes it inexpensive to  support and scale humongous data stores.

Who exactly looks after big data?

To work with big data, one must be exceptionally well when it comes to numbers and a knack for learning new things. Data Scientists, Decision makers, Data Analysts,  Data Architects and Hadoop Administrators. The prerequisites, however, a basic knowledge about SQL, UNIX and Python programming language will be beneficial for the aspiring learners.

Big data and Hadoop is certainly a start to something big..

Many organizations are adopting Hadoop in their infrastructure. For old Big Data stagers, it is generally not a major issue to plan the objective framework, pick a technology stack, and start off with implementation. Those with a considerable measure of experience can face concerns with all the unpredictability, yet Hadoop beginners confront a bunch of difficulties to begin with. So it becomes essential to have an in-depth knowledge about Hadoop as to tackle the problems easily.

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