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The recent emergence of the big data services platform and the nature of the role mean that big data scientists and specialists can be difficult to find. It is a highly specialized field, and few people possess the necessary combination of education, training, and aptitude to excel in big query services. A scientist is also known for his or her curiosity and problem-solving skills, in addition to their technical expertise.
Big data services, however, must also have a strong grasp of analytics, without necessarily being a programmer or engineer.
The cost of hiring an internal team of experts is high. In a highly competitive market, where demand exceeds supply, recruiting in-house is difficult. Local data experts may command very high salaries when companies can find the best talent.
In today’s increasingly digital world, the volume of data generated is growing at a high rate. Many businesses are struggling to handle data query meaningfully, and those who are looking for best practices are trying to organize and make sense of all this big data. This contains many secrets that can be used to drive and develop future strategies that will assist businesses in gaining a competitive edge.