We mean it – Big Data Analytics is used everywhere. There is a massive amount of data floating around which needs specialists to handle and use them appropriately. What we do with it is all that matters right now. This is why Big Data Analytics is on the frontiers of Information Technology. Big Data Analytics has become crucial as it aids in improving business, decision makings and providing the most significant edge over the competitors. This applies to organizations as well as professionals in the Analytics domain. For professionals, who are skilled in Big Data Analytics, there is an ocean of opportunities out there. Finance and Insurance, Professional Services, and IT are the sectors that constitute for 59% of all Data Science and Analytics (DSA) job demand – that’s interesting! Most prominently, 19% of the job openings in Big Data were from the Finance and Insurance industry. The volume of data we’re producing and have access to are multiplying exponentially, doubling every two years and assumed to increase by more than 30,000% between 2005 and 2020, with a 500% increase between 2010 and 2020 alone, according to market intelligence firm IDC.
Machine learning, big data, and data science skills are the most in-demand skills in the market. This is the right time to start a career in Big Data. Data Experts are required for ongoing product development and go-to-market strategies in most of the companies that utilize Big Data Analytics for corporate operations. Recent studies have identifies that several organizations have started new training programs in order to enable their current workforce to handle Big Data processes. It is true that failing to enrich the productivity of the workforce in these core areas (Machine learning, big data, and data science) will turn out to be the greatest challenge to organizations.
According to a survey, 39% of Data Scientists and Analyst professions require a Master’s or Ph.D. The most in-demand positions in data science and analytics need high-level education, further pushing up demand and salaries for professionals with these eligibilities. Continually learning and scoring new knowledge in the field of data science and analytics is an excellent long-term personal development strategy that pays for sure. In Big Data, there are four different fields to concentrate – Data Collection, Data Transformation, Data Storage and Data Analytics. You can master the tools that are used in Big Data. Some of the most popular tools used are – Hadoop, MapReduce, Informatica, DataStage, MySQL, MS SQL Server and Oracle.
Truly, the global need for Big Data, Analytics, and Data Science specialists are intensifying every day. Learn courses that will make you a high-demand Big Data and Analytics expert through online courses crafted by Industrial Experts at 361 DM.