Course Overview
What benefits can your organization achieve with Big Data? How to spot patterns in large quantities of enterprise data to improve performance and find underlying patterns that can benefit the organization? How can enterprises obtain a competitive advantage with Big Data? The Enterprise Big Data Professional (EBDP) course discusses the theoretical concepts of Big Data and subsequently applies this knowledge to a real-world case study.
The Big Data Framework provides a holistic and compressive approach for enterprises that aim to leverage the value of data in their organizations. The framework covers all the essential aspects of Big Data that are necessary to understand and analyze massive quantities of data.
The Enterprise Big Data Professional (EBDP) course will provide delegates with a fundamental understanding of Big Data and related technologies. In this extensive program, delegates will learn how to adopt, adapt, and apply the fundamental principles of Big Data in their own organization to realize business benefits. The Enterprise Big Data course is the first level of the Big Data Framework course curriculum and certification program, that is globally recognized and accredited by APMG-International. The curriculum provides a vendor-neutral and objective understanding of Big Data architectures, technologies, and processes.
The Enterprise Big Data Professional course is a vendor-independent program that is dedicated to applying Big Data best practices to enterprise organizations. The practical examples from real-world situations will help to gain a better understanding of how Big Data can be used in actual situations.
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 (1163 downloads )
- White Paper - Big Data in Healthcare Transforming Patient Care and Operational Efficiency (1743 downloads )
- White Paper - The Big Data Framework (1750 downloads )
Nik Keong Sam –
Few things I observed:
1) Course materials to include page #
2) Expect to practice more exam questions.
3) Suggest to have more interactive session when doing the exam questions by explaining the rational of each possible answer to the question.
Puvaneswaran A/L Suppiah –
Informative course and good instructor. Would want extra days to study for exam :)
Hasnun Hisyam –
Learned many new things in the course, and would greatly recommend this program. I would only allow more time to study for the exam.
Omar Qudimat –
This was my first introduction to Big Data, and I found the course extremely useful. Even with no background, I learned the different aspects of Big data. Thanks for letting me participate in this course.
Vannak Hour –
Good program with good structure. I think, the fundamental is very crucial for everyone and it’s a concept that can explore and setup the data analytics/scientist team in order to help to improve the business strategy that would be impacted to the decision making as well.
Everyone one always talking about the ML/AI but they are not quite sure what are exactly they came from. After complete this fundamental course, PEBD framework, this’s a principal of building the first step before we reach our target, which is focused on ML and AI in order to be able to help the business for decision making.
I do believe that we have also many things which are able to do with these things for digital product and Marketing.