Enterprise Big Data Certification (EBDC) | IT Training & Certification | Info Trek
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Enterprise Big Data Certification (EBDC)

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Course Details

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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 towards enterprise organizations. The practical examples from real-world situations will help to gain a better understanding about how Big Data can be used is actual situations

Enterprise Big Data Professional is an entry-level certification - ideal for professionals either currently or intending to be involved in Big Data analysis.

This certification suits the following roles:

• Data Analysts

• Business Analysts

• Digital Marketers

• IT Professionals


There are no prerequisites for this course.

This program will be conducted with interactive lectures, PowerPoint presentation, discussion and practical exercise.

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 architecture 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 or Artificial Intelligence and its relation to Big Data methods and solutions.


Modules

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• Definition of Big Data

• Origins of Big Data and the characteristics of its key concepts.

• Terms and key facts about the Big Data Framework

• Structure of the Big Data Framework


• Five steps for formulating a Big Data Strategy

• How to formulate a Big Data Strategy


• Terms and key facts about Big Data Architecture

• High-level principles and design elements of contemporary Big Data Architecture

• Big Data


• Terms and key facts about Big Data Algorithms and Analysis Techniques

• Algorithms and analysis techniques fundamental to Big Data.


• Key terms relating to the Big Data Processes

• Characteristics, activities and techniques of the Big Data Processes


• Key terms relating to Big Data Functions

• Benefits of the Big Data Centre of Excellence

• Six organization success factors

• Key roles in Big Data teams


• Key definitions and facts relating to Artificial Intelligence and Big Data

• Key concepts of Artificial Intelligence and their importance to Big Data.


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