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Big Data: Break Into Today’s Most Popular Profession


In this era of technological advancement, the amount of data an organization currently holds inversely decides the growth it will experience in the near future. Big Data is the term coined to describe this large volume of data that drives a business on a day-to-day basis. But this does not mean that procuring big data can alone help an organization to make sound decisions and strategic moves. It’s what organizations do with the data that matters most. From here, the role of a data scientist or data analyst comes into play.

According to the recent IDC forecast, the digital universe is predicted to grow by 16 zettabytes in 2017. It is also estimated that by the year 2020, about 1.7 megabytes of new information will be created each second for every human being on the planet. This will so drastically escalate the demand for data scientists that there will be a 50 percent gap in the supply of data scientists versus the demand. Glassdoor, in their recent 2016 survey, revealed that Data Scientists in the US are the 16th highest paid professionals, with a median base salary of $110,000, and they are listed first among the Best Jobs in America.

The significance of Big Data can be better understood by means of the global movement known as the Open Data Revolution, which is underway to help make data available for public use. This movement aims to generate new insights, drive sounder decision-making, and better enable government, society, and the private sector to target daily issues and consumer behavior. At present, the US holds the largest number of vacancies in data analytics positions. The banking and financial sectors are among the key contributors in creating jobs for data analysts. Big data engineer salaries have hiked by 5.8%, rising since 2016 from $135,000 to the current $196,000.


The ability to work in R and Python are the most sought-after skills by recruiters, followed by Hadoop, SAS, and Spark. Companies are offering an annual salary of $118,250-169,000 to entry-level data analysts. This could go even higher depending on the skills and experience of the professional.

Big data technology is facing a great many challenges, including storage, applicability, security, and scope, but it is also setting the bar high for the aspirants in this field, as a huge amount of data is being produced by sensors, smartphones, and even satellites. However, the growth of Big Data is unstoppable, as rapid developments in the related field of artificial intelligence need deep analytical and decision-making skills.

Career Options with Big Data

By now it is evident that Big Data is everywhere, and organizations are constantly using it for improved research and development. Because Big Data Analytics improves decision-making and boosts organizational growth, it remains an opportunity for IT professionals. Familiarity with Big Data basics and analytics offers wide career options. A complete list of Big Data courses is available here.