Course Overview
The Enterprise Big Data Professional (EBDP) e-learning program introduces learners to the core concepts, technologies, and practices that drive successful Big Data initiatives. Through interactive modules, short videos, practical exercises, and a real-world case study, learners explore how organizations can use data to improve performance, spot patterns in large datasets, and unlock strategic value.
This course is built on the Big Data Framework, a holistic and comprehensive model that guides enterprises in adopting, managing, and scaling data-driven capabilities. Learners gain a clear understanding of the essential components of Big Data — from architectures and analytical methods to governance and value creation.
The EBDP e-learning course equips participants with:
- A solid foundation in Big Data terminology, principles, and technologies
- Practical insight into identifying patterns, trends, and opportunities hidden in enterprise data
- The ability to apply vendor-neutral Big Data best practices to real organizational challenges
- Actionable knowledge that helps teams and organizations strengthen decision-making, improve operations, and build a competitive edge
As the first level of the Big Data Framework certification pathway, this globally recognized APMG-accredited course provides a structured and accessible starting point for professionals seeking to develop or expand their Big Data capabilities. Learners complete the program with a clear understanding of how to adopt and adapt Big Data practices in their own environment to deliver tangible business benefits.
Enterprise Big Data Professional® is a registered trademark of Big Data Framework B.V. All rights reserved.
Learning Objectives
The candidate who meets the criteria of the Enterprise Big Data Professional (EBDP) Examination should at a minimum be able to recall, recognize, and demonstrate an understanding of the theories, design elements, processes, and techniques as outlined in the Big Data Framework.
Specifically, (s)he should be able to demonstrate this understanding by being 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 for enterprise organizations to capture value from massive quantities of data.
- Explain key functions, roles, and competencies 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.
Target Audience
This qualification is aimed at individuals who require a working knowledge of the key principles of Big Data and who need to know the terminology used and some of the theory behind the practice. The target audience of the Enterprise Big Data Professional (EBDP) qualification therefore includes:
- Data & Business Analysts
- Digital Marketers and IT Professionals
- Consultants
- Data Science Professionals
- IT Managers, Developers, and IT Architects
Exam Structure
All Enterprise Big Data Professional examinations are administered through APMG-International and can be taken either paper-based or online.
- The exam consists of 60 multiple-choice questions
- The duration of the exam is 90 minutes
- The pass mark is 65% (39 questions)
- The pass mark for a trainer qualification is 75% (45 questions)
The official EBDP course syllabus and sample exam are all available for download on this page.
Downloads and Resources
- Course Brochure - Enterprise Big Data Professional (1156 downloads )
- White Paper - Big Data in Healthcare Transforming Patient Care and Operational Efficiency (1735 downloads )
- White Paper - The Big Data Framework (1742 downloads )



Philip –
Great course! I didnt have any background or knowledge on Big Data, and this course really explained it in an easy and very understandable way. Would recommend it to any professional since data is a must nowadays in any job. Alos learning environment is easy and clear