Academy | Syllabus

Enterprise Big Data Professional

The Enterprise Big Data Professional (EBDP®) course provides an introduction to the core concepts and techniques of Big Data, and provides an overview of the capabilities that organizations need to develop to move towards data-driven decision making. By embedding Big Data capabilities, organization can make faster and more reliable decisions and bring products faster to market.

Big Data and the use of corresponding Big Data technologies have quickly risen in popularity in recent years and many organizations have set up dedicated data analysis or Big Data functions in the organization. In this course, we will discuss how organizations can use Big Data technologies and techniques to spot patterns in large quantities of enterprise data and how these patterns can be used to increase overall performance.

Trusted by OrganizationsProven by Professionals

+21

Years of Experiences

+6.000

Delivered Training Programs

+50.000

Professionals

90%

Exam Pass Rate

Program Details

Durations

The program is a 5-day intensive training class.

Method of Delivery

The program provided by Multimatics will be delivered through interactive presentation by professional instructor(s), group debriefs, individual and team exercises, behavior modelling and roleplays, one-to-one and group discussion, case studies, and projects.

Who Should Attend?

The target audience of the Enterprise Big Data Professional qualification therefore includes:

Data Analysts
Project Managers
Business Analysts
Digital Marketeers
IT Professionals
Everyone who wants to learn more about Big Data

Program Objectives

By the end of the program, participants will be able to:

Explain the history and context of Big Data in comparison to traditional data analysis techniques and solutions.
Describe the fundamental characteristics of data analysis, big data, machine learning and artificial intelligence and the differences between these concepts.
Describe how to formulate a Big Data strategy that underpins the business drivers of Big Data and Big Data solutions in order to capture the value proposition of Big Data.
Discuss the high-level principles and design elements of contemporary Big Data architectures and explain their core benefits.
Explain fundamental Big Data algorithms and processing techniques in order to select the appropriate techniques to solve practical Big Data problems.
Identify how to apply the Big Data processes that are necessary in enterprise organizations to capture value from massive quantities of data.
Explain key functions, roles and capabilities in organizations that are necessary to capture long-term value from Big Data.
Understand the importance and concept of Artificial Intelligence and its relation to Big Data methods and solutions.