78081 Enterprise Big Data Professional 120j sans examen

Delegates who have taken the Enterprise Big Data Professional certification course, should 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 competences 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.

The Enterprise Big Data Professional qualification is aimed at individuals who are involved in enterprise Big Data analysis, who require a working knowledge of the principles behind Big Data, who need to know the terminology used and some of the theory behind the practice. The target audience of the Enterprise Big Data Professional qualification therefore includes:

• Data Analysts
• Business Analysts
• Digital Marketeers
• IT Professionals

• Introduction
• Key concepts of Big Data
• Big Data Strategy
• Big Data Architecture
• Big Data Algorithms
• Big Data Processes
• Big Data Functions
• Artificial Intelligence

There is no mandatory prerequisite to obtain the EBDP Qualification.