Big Data is the most exciting, recent domain to work in with huge opportunities & scope of growth in the market. Extremely large datasets containing structure, unstructured or semi-structured data that cannot be stored, processed, manipulated & analyzed using traditional techniques are known to be included in the domain of Big Data. Therefore, Big Data requires various specialized tools, techniques & frameworks for its proper analysis to undertake better strategic decisions taken for the development of the client organization. Big Data has grown up to be a vast field; currently, notable domains like Black Box Data, Social Media Data, Transport Data, Stock Market Data & Search Engine Data fall under its umbrella. With the increment in the amount of data, the importance of Big Data specialization & insights derived from it also increases considerably.
Big Data scientists & analysts are extremely lucrative professions right now since MNCs are churning out huge volumes of data nowadays on a daily basis and it is important to infer the correct actionable insights from these data. Despite the high demand, however, there is a huge lack of properly trained professional & experts on Big Data; there exists a large number of unfilled jobs across the globe due to a shortage of required skill. A properly trained & certified person can easily gain employment in this domain.
With the emergence & fast popularity of Big Data Analytics, tools suitable for Big Data like Apache Hadoop framework are being adapted too. There are also other commercial and open-source alternate frameworks to choose from, but Hadoop continues to be the dominant & most popular choice.
According to a Randstad survey, annual pay hikes for Analytics professionals within India is about 50% more than other IT professionals. Other surveys report that the average salaries for analytics professionals in India increased by 21% in 2015, & 14% of most Big Data analysts command a salary of more than Rs. 15 LPA.