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.

PREREQUISITES

Big Data Certified Associate

Big Data Certified Professional

Data Analytics Certified Professional

Audience

Administrator

Analyst

Developer

Systems Administrator

Support Engineer

Technical Consultant

Technical Administrator

TOPICS

The following topics are validates:

Technologies Related
to Big Data

Characteristics of Data

Big Data Environments

Dataset Types

Fundamental Analysis

Massive data generation

Distributed Systems and Scalability

Data Lake

FundHadoop Ecosystem

Big Data Components

Traditional Enterprise

Network Analysis

Spatial Data Analysis

Classification and Clustering

Filtering

Sentiment Analysis

DSCS

Text Analytics

About Exam

Certification Non-proctored Exam.

Exam format is multiple-choice questions, 65 questions.

Exam duration 2 hour.

Passing score 65%.

Two chances.

A single-use voucher is for non-proctored  Certification exam.