Course Overview
What benefits can your organization achieve with Big Data? How can you spot patterns in large enterprise datasets to improve performance? How can enterprises gain a competitive advantage with Big Data? The Enterprise Big Data Professional (EBDP) course covers theoretical concepts and applies them to a real-world case study.
The Big Data Framework provides a holistic approach for enterprises seeking to leverage data value. It covers all essential aspects needed to understand and analyze massive datasets.
The Enterprise Big Data Professional (EBDP) course gives delegates a fundamental understanding of Big Data and related technologies. Delegates learn to adopt, adapt, and apply core Big Data principles to achieve business benefits. The course is the first level of the Big Data Framework curriculum and certification program, globally recognized and accredited by APMG-International. The curriculum offers a vendor-neutral, objective understanding of Big Data architectures, technologies, and processes.
The Enterprise Big Data Professional course is vendor-independent and focuses on applying Big Data best practices in enterprise organizations. Practical examples from real-world situations help delegates understand how to use Big Data effectively.
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 (1820 downloads )
- White Paper - Big Data in Healthcare Transforming Patient Care and Operational Efficiency (2809 downloads )
- White Paper - The Big Data Framework (2730 downloads )
If your preferred date is not available, please feel free to get in touch with us.
VASANTHA KUMAR PERISAMY –
The trainer provided clear explanations that enhanced understanding, making the learning experience highly effective. Great trainer.
Eisa Alhammadi –
The course was informative and useful, and I learned new big data knowledge that can apply to my job. Thanks trainer for wonderful work.