Concept of Big Data/ Hadoop

We have gone into a computerized world where information is scaling each and every second. The measure of information that is being made and put away globally is almost inconceivable, and it just multiplying.

Enormous, That is the impression you get when you hear the current buzz about big data. 

Big companies around the world scamper desperately to grab people with big data skills such as Hadoop, and are willing to shell out big bucks to keep these data-crazed workers in their payroll.

Experts agree that while big data is still in its fledgling state, it will become a pervasive force pretty soon. 

As things stand, the big data industry will rapidly size up and certainly part of that mega money will be used to reward competent big data professionals, the cream of which are Hadoop specialists. 

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For the uninitiated, Hadoop is an intense open-source structure created by Apache for overseeing enormous information sets. 

It has turned into the most utilized stage for storing and breaking down petabytes of information, and now summons a portion of the most elevated premiums as far as IT skill desirability among employers is concerned.

The new benefits that big data analytics brings to the table, however, are speed and efficiency. 
Whereas a few years ago a business would have gathered information, run analytics and unearthed information that could be used for future decisions, today that business can identify insights for immediate decisions. 

The ability to work faster – and stay agile – gives organizations a competitive edge they didn’t have before.

Importance of Big data Analytics

Big data analytics helps organizations harness their data and use it to identify new opportunities. 

That, in turn, leads to smarter business moves, more efficient operations, higher profits and happier customers.
 
Cost Reduction
Big data technologies such as Hadoop and cloud-based analytics bring significant cost advantages when it comes to storing large amounts of data – plus they can identify more efficient ways of doing business.

Faster and Efficient
With the speed of Hadoop and in-memory analytics, combined with the ability to analyze new sources of data, businesses are able to analyze information immediately – and make decisions based on what they’ve learned.

Newer Products
With the ability to gauge customer needs and satisfaction through analytics more companies are creating new products to meet customers’ needs.

Career Opportunities

Analytics no matter how advanced they are, does not remove the need for human insights. On the contrary, there is a compelling need for skilled people with the ability to understand data, think from the business point of view and come up with insights. 

For this very reason technology professionals with Analytics skill are finding themselves in high demand as businesses look to harness the power of Big Data. 

A professional with the Analytical skills can master the ocean of Big Data and become a vital asset to an organization, boosting the business and their career.

Looking at the forecast of Big Data market, it looks promising and the upward trend will continue progressing in the course of time. 

The market is not a short-lived phenomenon and technologies are here to stay. 

In fact, Hadoop has the potential to improve job prospects along with salary regardless of whether a person is a fresher or experienced.