Articles and case studies written about “big data” analytics programs proclaim the successes of organizations, typically with a focus on the technologies used to build the systems. Product information is useful, of course, but it’s also critical for enterprises embarking on these projects to be sure they have people with the right skills and experience in place to successfully leverage big data analytics tools.
Knowledge of new or emerging big data technologies, such as Hadoop, is often required, especially if a project involves unstructured or semi-structured data. But even in such cases, Hadoop know-how is only a small portion of the overall staffing requirements; skills are also needed in areas such as business intelligence (BI), data integration and data warehousing. Business and industry expertise is another must-have for a successful big data analytics program, and many organizations also require advanced analytics skills, such as predictive analytics and data mining capabilities.