This certification validates experience and knowledge in pertaining to data science and analysis techniques relevant and unique to Big Data with an emphasis on how analysis and analytics need to be carried out individually and collectively in support of the distinct characteristics, requirements and challenges associated with Big data. The exam certification is divided into a series of modular sections.
Big Data Certified Associate
Big Data Certified Professional
Data Analytics Certified Professional
The following topics are validates:
to Big Data
Characteristics of Data
Big Data Environments
Massive data generation
Distributed Systems and Scalability
Big Data Components
Spatial Data Analysis
Classification and Clustering
Certification Non-proctored Exam.
Exam format is multiple-choice questions, 65 questions.
Exam duration 2 hour.
Passing score 65%.
A single-use voucher is for non-proctored Certification exam.