DASCA's eminence as the developer of the world's most definitive credentials for marking excellence in the Big Data profession serves very well all stakeholders – Big Data tech-stables, Big Data professionals, Big Data training outfits, as well as business schools and universities breeding higher–grade professional talents.
Available across 183 countries, DASCA certification exams are built on 5th generation TEI technologies delivered through state-of-the art QTI-PCI aligned test engines by ExamStrong, the world's largest exam-delivery ecosystem specializing in highest-stake certification exams of world's leading 3rd party standards and credentialing bodies.
Partnering DASCA implies building powerful real–time bridges with the state-of-the-art in Data Science thought and practice worldwide, and profiting in business through world-class Big Data standards, certifications, and knowledge networks.
Big Data technology stables, Big Data consulting outfits, IT training companies, leading universities, business schools, higher education institutions, and government ICT academies – all are adding to the rapidly swelling DASCA worldwide network. And if your organization is yet to ally with DASCA, well, then just start the process now! We'll be privileged to have you join in.
The Insight graphic presented below is a DASCA projection of the global average salaries per annum in the Big Data space. Indeed, as expected, there are wide-ranging variances across geographies and recruiter levels, and hence what we have presented here are ranges of salaries to be expected. These figures here are a result of extensive DASCA studies over the past five years on Big Data compensation trends worldwide, combined with several other equally invaluable surveys researches and analysis featured in the newsletters, papers, blogs, and websites of organizations and platforms like the Information Week, KD Nuggets, McKinsey Leadership Institute, BurtchWorks, Accenture, Glassdoor, and Data Jobs.
It is highly recommended that the figures presented here should be treated only as indicative of the most likely trends in salaries, rather than be interpreted as absolute facts, which anyways, a range may never be.
(The DASCA NewsDesk. Research by CredRadar™ and CredForce)