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The Enterprise Big Data Framework

Building Critical Capabilities to Win in the Data Economy

Jan-Willem Middelburg

$120

Paperback

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English
Kogan Page Ltd
03 November 2023
Businesses who can make sense of the huge influx and complexity of data will be the big winners in the information economy.

This comprehensive guide covers all the aspects of transforming enterprise data into value, from the initial set-up of a big data strategy, towards algorithms, architecture and data governance processes. Using a vendor-independent approach, The Enterprise Big Data Framework offers practical advice on how to develop data-driven decision making, detailed data analysis and data engineering techniques. With a focus on business implementation, The Enterprise Big Data Framework includes sections on analysis, engineering, algorithm design and big data architecture, and covers topics such as data preparation and presentation, data modelling, data science, programming languages and machine learning algorithms. Endorsed by leading accreditation and examination institute AMPG International, this book is required reading for the Enterprise Big Data Certifications, which aim to develop excellence in big data practices across the globe. Online resources include sample data for practice purposes.

By:  
Imprint:   Kogan Page Ltd
Country of Publication:   United Kingdom
Dimensions:   Height: 240mm,  Width: 171mm,  Spine: 26mm
Weight:   830g
ISBN:   9781398601710
ISBN 10:   1398601713
Pages:   496
Publication Date:  
Audience:   Professional and scholarly ,  College/higher education ,  Professional and scholarly ,  Undergraduate ,  Primary
Format:   Paperback
Publisher's Status:   Active

Jan-Willem Middelburg is a Dutch entrepreneur and author with a passion for technology and innovation. He is the CEO and co-founder of Cybiant, a global technology that company that helps to create a more sustainable world through analytics, big data and automation. He is also President and Chief Examiner of the Enterprise Big Data Framework, an independent organization dedicated to upskilling individuals with expertise in Big Data. In partnership with APMG-International, the Enterprise Big Data Framework offers vendor-neutral certifications for individuals.

Reviews for The Enterprise Big Data Framework: Building Critical Capabilities to Win in the Data Economy

"""The Enterprise Big Data Framework is relevant for everybody within an organisation engaged in driving maximum benefits from data. There is something for everybody; from the board considering governance and ethical behaviour to individuals within the organisation knowing where they fit and the value they can get from better use of their organisation's data. If you are considering a transformation project, this is an excellent guide for your project team."" * Richard Pharro, CEO, The APM Group Limited * ""If you are looking for a good guide to empower your knowledge on big data and to find a framework to help you on your big data journey, then this book is for you. From learning what big data is to defining a big data strategy, Jan-Willem has built a book to empower the learner on the topic of big data."" * Jordan Morrow, Chief Strategy & Transformation Officer, DataPrime and Author of Be Data Literate * ""This book is a master piece for those who are familiar and those who discover the world of data. It provides an ""a la carte framework"" starting with a (big) data strategy and the supporting aspects such as big data functions, architecture and algorithms. It covers in depth data platforms architectures, its management as well as data governance, data catalogue and all the required security considerations associated to the various data classifications. You will find details of data life cycle management, of various machine learning algorithms and an important chapter covering AI ethics when building and deploying sophisticated algorithms using data. The concepts covered in this book apply to on-premises and in the (public) cloud environments, making this book a must read."" * Jean-Michel Coeur, APAC Technology Practice Lead, Data Analytics, Google Cloud *"


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