Why Choose a Career in Big Data?

In recent years, data has been the most valuable commodity to work upon as it is linked with every part of our lives. Big data is a collection of data with huge volume, yet is exponentially growing with time. Any organization or person will look into the reasons for applying big data in their routines just like before buying electronics we look into the memory, quality, color, and efficiency of it to have lasting satisfaction out of it.

According to the World Economic Forum, big data analytics will be in high demand in organizations globally by 2022. Further, IBM claims that the annual demand for data developers, big data engineers, big data analysts, and data scientists will lead to massive recruitments within the next few years. Now, let us understand the essential reasons to choose big data as a career.

Reasons to select a career in big data

Here are the top justified reasons to select big data as a career option:

The exponential rise of data

Big data is transforming the future with business intelligence, innovation, and a lower cost of ownership. Organizations will expand their use of big data technologies and Hadoop as they are looking for different ways to speed up data processing because every day a large amount of data is being collected. This in turn will increase the demand for big data analysts and engineers in organizations.

Huge job opportunities and skill gap

According to Mckinsey Global Institute study, there is huge demand for big data analysts, data visualization developers, and big data engineers but with a huge deficit on the supply side. According to the founder of Fractal Analytics an artificial intelligence company, there are two types of talent deficits big data analysts and data scientists, one who can understand and use data and the other who can perform analytics.

A top priority in companies

According to a survey conducted by the Industrial Development Corporation (IDC), big data analytics is one of the top priorities of companies as they believe that it improves their performances in organizations. Based on the survey it was found that over 45 percent of organizations believe that enabling big data analytics will provide them precise business insights and market opportunities.

Multiple programming languages

Big data is not limited to a single framework or language. It combines quantitative and advanced statistical skills with programming ability and there are multiple programming languages that one can specialize in.

Specific domain campaign expert

Big data analytics is applied in multiple technical languages for targeting several campaigns such as sales and market segmentations. Mastering in a specific language will help an individual grab a chance to be accountable for the complete domain delivery that one specializes in.

Better salaries

A big data engineer or an analyst earns over 50 percent more than its IT counterparts. This is because there is a high demand for analytics professionals and companies are willing to pay competitive salaries to attract the desired talent. The U.S. average salary for big data engineers ranges between USD 1, 17,000 to 1, 25,000. The rates are even higher for professionals with upgraded skills and experience.

Becoming a professional in this field will have several benefits such as better salary, career growth, and so on. However, big data analytics certification is important today as it measures an individual’s knowledge on the subject. Data analytics certification for beginners will add an extra badge to their technical skills so that they can grab better job opportunities in big companies.

Importance of big data certifications

  • A big data analytics certification showcases an individual’s mastery of a particular subject. These exams are not easy and take a lot of knowledge to clear these programs.
  • Recruiters look for profiles with certifications increasing beginners chances to get hired quickly
  • Big data analytics certifications improve efficiency as professionals and beginners will be considered as skilled persons eventually being a great asset for companies.