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Big Data Demystified (PDF eBook)


Big Data Demystified (PDF eBook)

eBook by Stephenson, David;

Big Data Demystified (PDF eBook)

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£10.19

ISBN:
9781292218113
Publication Date:
14 Feb 2018
Publisher:
Pearson
Imprint:
FT Publishing International
Pages:
240 pages
Format:
eBook
For delivery:
Download available
Big Data Demystified (PDF eBook)

Description

The full text downloaded to your computer With eBooks you can: • search for key concepts, words and phrases • make highlights and notes as you study • share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed. 'Big Data' refers to a new class of data, to which 'big' doesn't quite do it justice. Much like an ocean is more than simply a deeper swimming pool, big data is fundamentally different to traditional data and needs a whole new approach. Packed with examples and case studies, this clear, comprehensive book will show you how to accumulate and utilise 'big data' in order to develop your business strategy. Big Data Demystified is your practical guide to help you draw deeper insights from the vast information at your fingertips; you will be able to understand customer motivations, speed up production lines, and even offer personalised experiences to each and every customer. With 20 years of industry experience, David Stephenson shows how big data can give you the best competitive edge, and why it is integral to the future of your business.

Contents

Part 1 Big data demystified 1 The story of big data 2 Artificial intelligence, machine learning and big data 3 Why is big data useful? 4 Use cases for (big) data analytics 5 Understanding the big data ecosystem Part 2 Making the big data ecosystem work for your organization 6 How big data can help guide your strategy 7 Forming your strategy for big data and data science 8 Implementing data science - analytics, algorithms and machine learning 9 Choosing your technologies 10 Building your team 11 Governance and legal compliance 12 Launching the ship - successful deployment in the organization References Glossary

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