Why Big Data and Hadoop Are Made for Each Other

Decades back, when the market was not even introduced to the term “Big data”, business fields had still been using the technology, i.e. every bit of information was accounted for through numbers on a spreadsheet. ROI was measured with precision back then too. Today the amount of data has risen to unimaginable heights and it includes words and sentences as well as numbers. We have The big data technology which adds efficacy and reduces the time consumption owing to which, striving in this competitive world has become possible. And Hadoop software suite has played a vital role from the very early days.

What difference does it make?

The amount of data available today is incredible. Storing  Going through zettabytes of data is literally impossible with the traditional methods. Apart from that, the data storage systems cost a lot of money which was hardly affordable for small and mid-sized enterprises. Hadoop brought the greatest boon for them in the form of HDFS or Hadoop distributed file system.

Since then Hadoop became the nuts and bolts that make big data possible. If you want to work as a big data analyst, a big data Hadoop certification is a stamp you will like on your CV.

Looking back at where it all began

Once it was realized that losing data means losing possible ways of development and money making the need of the hour was to develop a system that can store and process huge amounts of data. Hadoop has lately become a foundational platform for data management as big data analytics joined hands with it since its emergence sometime in the mid-2000s. Created by computer scientists Doug Cutting and Mike Cafarella, this implementation initially worked based upon Google File System (GFS). Later on, an off offshoot of this venture was Hadoop. A software suite that has, since then played a seminal part in implementing big data analytics in several industries.

Why does Hadoop work so well?

Hadoop lets you add new servers to expand the storage capacity. Hadoop offers a great amount of flexibility allowing data imports from various sources. It can contain and process structured and unstructured data from different data sources. Today Hadoop is the most widely used system in the world to store data and process it. Statistically, if you are dreaming to be a part of any of the companies in the Fortune 500, this is the primary thing that you need to learn as more than half of the companies in the list make use of it.

A recent hashfall in popularity

There have been a lot of improvements in the field of data analytics and there have been tools like Spark that have an increased processing speed. It is often thought that Hadoop has lost its application. Yes, the market for Hadoop tools is not as huge and dynamic as it used to be a few years back. But it has merely lost its monopoly, not its relevance. A big data Hadoop certification is still as relevant for the industry as it used to be.

So get yourself enrolled for a big data course and get your career going.