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Enterprise Big Data Professional Certification Course

Big data Fundamentals and a technology agnostic approach to the big data lifecycle to provide outcome based insights
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Content

Platform: Udemy
Video: 5h 44m
Language: English
Next start: On Demand

Table of contents

Description

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 fuThe 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 in actual situations.

You will learn

✓ This course prepares you, for the Enterprise Big Data Professional Examination from APMG International
✓ 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 in actual situations.
✓ The Enterprise Big Data Professional qualification is an entry-level course for all processionals that aim to get a basic understanding of Big Data terminology, core concepts and Big Data solutions.
✓ The course will provide an overview of existing technologies, but will not go into programming or implementation. There is no mandatory prerequisite to obtain the EBDP Qualification.
✓ 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.

Requirements

• There are no prerequisites for learning this course.
• A fair idea of data and information management (at any level) may be an advantage

This course is for

• The individuals who are involved in enterprise Big Data analysis
• The individuals who require a working knowledge of the principles behind Big Data,
• The individuals who need to know the terminology used and some of the theory behind the practice.
• Data Analysts, Business Analysts, Digital Marketers and IT Professionals
Training & Consulting
We are a leading Training & Consulting Organization, operating from Navi Mumbai, India. We provide IT & Non IT Training such as Project Management, IT Service Management, Quality Management, Cloud Computing & much more.
With over 10 years of experience in building capabilities for organizations and individuals,  4PA also consults organizations on implementing best practices and offers various training programs for corporates, across the globe.
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Platform: Udemy
Video: 5h 44m
Language: English
Next start: On Demand

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