Learn How to Bridge the Big Data Skill Gap in 2018
In the next few years, big data technology will continue to remain the ‘Big thing’ for large enterprises. Tech experts have estimated that the amount of data large enterprises produce every day could be worth trillions of dollars or even more. Access to such a huge amount of data can be a blessing or a curse for businesses. If churned well, it is not only helpful in deciphering information, but also in reducing decision-making times. On the other hand, access to large and widely disparate sets of data increases the need to hire big data analysts to draw meaningful business insights from the data. To exploit big data, business organizations will have to mend the big data skill gap. Listed below are some of the best ways to bridge the big data skill gap in 2018. #1 Scout for the right resources with the right skill set A good big data scientist should have an analytical mind along with a strong background in statistics and mathematics, particularly, linear algebra and calculus