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Big Data Analytics Training Course

Big Data Analytics

Boost your analytics career with our Big Data Analytics training course

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31,802+ Enrolled
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Big Data Analytics Training Highlights

Boost Your Analytics Career with Big Data Analytics

30 Hours of Intensive Training on Big Data and its Frameworks

Industry Case Studies and Exercises for Enhanced Learning

Hands-On Training by Industry Experts

Gain Technical Expertise in Big Data Analytics

In-depth Questionnaires with Projects for Practice

Complimentary Access to 100+ e-Learning Courses

Big Data analytics is the process of gathering, managing, and analyzing large sets of data (Big Data) to uncover patterns and other useful information. These patterns are a minefield of information and analysing them provide several insights that can be used by organizations to make business decisions. This analysis is essential for large organizations like Facebook who manage over a billion users every day, and use the data collected to help provide a better user experience.

Similarly, LinkedIn provides its users with millions of personalized suggestions on a regular basis. LinkedIn does it with the help of components like HDFS features and MapReduce in Big Data Analytics. Big Data has thus become an indispensable part of technology and our lives; and big data analyses provide solutions that are quick and require reduced effort to generate. It is no wonder then that big data has spread like wildfire and so have the solutions for its analyses.

According to a recent McKinsey report the demand for ‘Big Data’ professionals could outpace the supply by 50 to 60 percent in the coming years, and U.S.-based companies will be looking to hire over 1.5 million managers and big data analysts with expertise on how big data can be applied. Big Data investments have also skyrocketed, with several top-profile companies spending their resources on Big Data related research and hiring big data analysts to change their technology landscape.

An IBM listing states that the demand for data science and analytics is expected to grow from 3,64,000 to nearly 27,20,000 by 2020. According to a recent study done by Forrester, companies only analyze about 12% of the data at their disposal. 88% of the data is ignored, mainly due to the lack of analytics and repressive data silos. Imagine the market share of big data if all companies start analyzing 100% of the data available to them. Hence the conclusion is that there is no time like now to start investing in a career in big data. It is paramount that developers upskill themselves with analytical skills and get ready to take a share of the big data career pie.