Big Data Career Guide

The Best Career Oriented Big Data Certification Choices

We’re living in a time of marvelous opportunity, especially for those who work in the tech industry. With so many evolving technologies, skilled professionals can extend their knowledge to become specialists in several fields or transition into a new field. This is particularly true of Big Data, where the types of jobs are increasing as the rate of data generated each day increases at an amazing pace. Even as we generate unprecedented amounts of data in 2018, IDC predicts we will generate approximately 440 times more information by 2020. All that data must be stored in scalable and cost-effective data platforms, while still being accessed, analyzed, and put to use. And it’s the Big Data professionals who make all of that happen, meaning today’s organizations have a dire need for Big Data professionals, including data scientists, data analysts, data engineers, and developers, and systems administrators and managers. For those with the right skill set and certifications, the market offers plenty of job opportunities and attractive salaries packages. According to Glassdoor, there are almost 49,000 Big Data jobs that need to be filled, isn’t this superbly amazing!

Prevailing Myths About Analytics Career

While reading to many blogs and question answer in many communities, what I keep encountering is the common question which is actually a myth about an Analytics Career. There are many aspirants may be dropping the idea of becoming analytics experts. So here we will discuss and try to find out the truth. So let us start. Here are some the myths I gathered to take on them:

You need to be an engineer to start a career in Business Analytics:

The truth is that you don’t. All you need is the ability to think structurally and comfort with number crunching. As long as you can put structure to unstructured problems and perform back of the envelope calculations, you are as good as any analyst out there. Having said that, companies prefer people from a quantitative background as they are expected to be better with numbers. By quantitative background, I mean people from any of these disciplines: Engineering, Economics, Maths, Statistics, Physics or MBAs with graduation in these fields.

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