A Certified Big Data Science Professional has demonstrated proficiency in the analysis practices and technology concepts and mechanisms that comprise and are featured in contemporary Big Data environments and tools.
Knowledge of fundamental Big Data concepts and terminology is second nature to the Big Data Science Professional, as is an understanding of the business implications, benefits and challenges of adopting Big Data platforms and working with Big Data tools. Furthermore, the Big Data Science Professional must possess the ability to recognize appropriate analysis and analytics techniques and practices and to associate them with the correct problems and requirements, in addition to possessing a fundamental understanding of the underlying mechanics of Big Data technology platforms and mechanisms.
To achieve this certification, the following exams must be completed with a passing grade:
– Exam B90.01: Fundamental Big Data
– Exam B90.02: Big Data Analysis & Technology Concepts
– Exam B90.03: Big Data Analysis & Technology Lab
Note that the Big Data Science Professional designation is based on vendor-neutral coverage of technologies and tools. Although vendor-specific examples of certain technologies are provided, none of the required exams, nor the attainment of the certification, require any knowledge or expertise in specific products. The purpose of this certification is to instill proven understanding and capabilities of common, foundational Big Data analysis and technology concepts, mechanisms, and considerations. This knowledge establishes a sound foundation that can be further built upon with additional training, accreditation and experience.