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Martin Smith
Martin Smith

Posted on • Originally published at Medium on

What is the Future of Big Data Analytics and Hadoop?

Technology has given us many useful tools to upgrade our work. Big Data Analytics is one of them. Data is the most important part of any industry to function. This is the reason that data handling should be dealt with care. Big Data plays an important role in maintaining the huge amount of data. It is omnipresent and there always has been a requirement to capture, collect and store whatever data is being generated so that there is not data loss.

Big Data has taken a lead in the IT industry and has played a significant role in the Business growth and decision making processes to give you an edge over the competitors. This is equally applicable to the organizations as well as professionals existing in the analytics domain. Big Data Analytics, bring an ocean of opportunities for the professionals, who are skilled in it.

There is an escalating demand for Analytics Professionals especially from the people sitting at senior executive positions, has stressed the significance of analytics professionals by stating that “ Data is useless without the skill to analyze it.” There are plenty of job opportunities in big data management and analytics as compared to last year and many IT professionals are preparing themselves to invest their time and money for the training.

The job trend graph for Big Data Analytics, taken from various job portals, proves that there is a growing trend for it and consequently there is a steady increase in the number of job opportunities.

The world today is closely connected and people and organizations are thriving by creating massive volumes of data at an unstoppable rate. Consequently, the significance of Big data Analytics has improved even more.

Another important technology in the IT world is Hadoop which is not a database, in fact, it is a software which is an open source to handle a large amount of structured and semi-structured data. It is primarily designed for large data processes that address all the individual files of the database. Hadoop is ideal for the slow and steady pace of work where fast performance is not critical, for instance reviewing daily transactions reports, scanning of historical data, and performing analytics where a slower time-to-insight is acceptable. Hadoop certainly scores over traditional databases in the aspects of normalization and scalability.

Big companies like Facebook, Google uses Hadoop to collect, store and manage the colossal data sets.

Hadoop is a well-measured platform because it can not only store a large number of data but can distribute very large data sets across hundreds of inexpensive servers that operate in parallel. Large web companies such as Google and Facebook use Hadoop to store and manage their huge datasets. It has come a big way in deeply changing the economics of storing and analyzing information. It is a focal point of large- scalable data management activities whose analysis either integrate or generate data.

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