Arcitura Certified Big Data Science Professional
 /  Arcitura Certified Big Data Science Professional

A Certified Big Data Science Professional has demonstrated proficiency in fundamental Big Data technologies and practices, including analysis, analytics and mechanisms common to contemporary Big Data environments and tools.

Module: Fundamental Big Data
This module provides a high-level overview of essential Big Data topic areas. A basic understanding of Big Data from business and technology perspectives is provided, along with an overview of common benefits, challenges, and adoption issues. The course content is divided into a series of modular sections, each of which is accompanied by one or more hands-on exercises.

The following primary topics are covered:
– Understanding Big Data
– Fundamental Terminology & Concepts
– Big Data Business & Technology Drivers
– Traditional Enterprise & Technologies Related to Big Data
– Characteristics of Data in Big Data Environments
– Dataset Types in Big Data Environments
– Fundamental Analysis and Analytics
– Machine Learning Types
– Business Intelligence & Big Data
– Data Visualization & Big Data
– Big Data Adoption & Planning Considerations

Module: Big Data Analysis & Technology Concepts
This module explores a range of the most relevant topics that pertain to contemporary analysis practices, technologies and tools for Big Data environments. The course content does not get into implementation or programming details, but instead keeps coverage at a conceptual level, focusing on topics that enable participants to develop a comprehensive understanding of the common analysis functions and features offered by Big Data solutions, as well as a high-level understanding of the back-end components that enable these functions.

The following primary topics are covered:
– Big Data Analysis Lifecycle (from business case evaluation to data analysis and visualization)
– A/B Testing, Correlation
– Regression, Heat Maps
– Time Series Analysis
– Traditional Enterprise
– Network Analysis
– Spatial Data Analysis
– Classification, Clustering
– Filtering (including collaborative filtering & content-based filtering)
– Sentiment Analysis, Text Analytics
– Processing Workloads, Clusters
– Cloud Computing & Big Data
– Foundational Big Data Technology Mechanisms

Module: Big Data Analysis & Technology Lab
As a hands-on lab, this module provides a set of detailed exercises that require participants to solve a number of inter-related problems, with the goal of fostering a comprehensive understanding of how Big Data environments work from both front and back-ends, and how they are used to solve real-world analysis and analytics problems

Suitable for:

  • Performance improvement and strategy specialists
  • BI and data warehouse architects
  • Designers and developers
  • BI project managers
  • Business and data analysts
  • Data quality & data governance professionals


Fundamental Big Data (B90.01) 60 minutes
Big Data Analysis & Technology Concepts (B90.02) 60 minutes
Big Data Analysis & Technology Lab (B90.03) 120 minutes

A student can schedule to take any Pearson VUE exam via online proctoring as an alternative to visiting a Pearson VUE testing center. There are certain security requirements that need to be met and the student will be supervised by a live proctor via a webcam. Please see here for more information:

*Note: Students can also purchase an ESL extension when taking a Pearson VUE exam, which will given them an extra 30 minutes of test taking time.

An electronic certificate and a digital certification badge from Acclaim will be sent to students passing the required exam(s).

Learn more about scheduling this exam at a Pearson VUE testing center or for delivery via Pearson VUE Online Proctoring by visiting

  • 28 – 30 Jan 2019
  • 18 – 20 Mar 2019
  • 13 – 15 May 2019
  • 1 – 3 Jul 2019
  • 23 – 25 Sep 2019
  • 4 – 6 Nov 2019
  • 16 – 18 Dec 2019

Book Now


Book Online

Duration: 3 Days
Price: $2,247.00 (After GST)

Certification Body
Supported by
Need more information?

Related Courses