As more companies go digital and conduct their business online, this book provides practical examples of how companies can better manage their data and use it to generate maximum value. The book offers an integrated approach by treating data as an asset and discusses how to preserve and protect it just like any other corporate asset.
Foreword
Preface and Acknowledgements
Authors
Chapter 1 - The Management of BIG Data Overview
Chapter 2 - Big Data, Hadoop Distro, Data Triad, and Enterprise Data Lakes
Chapter 3 - The Data Supply Chain
Chapter 4 - Data Quality Measurement and Its Impact
Chapter 5 - Analytics Landscape, Execution, and Evaluation
Chapter 6 - Big Data and Cloud Solutions
Chapter 7 - Structuring Unstructured Data and NoSQL
Chapter 8 - Design and Development of Multivariate Diagnostic Systems
Chapter 9 - Big Data and Artificial Intelligence (AI)
Chapter 10 - Aligning Big Data and AI Strategy with Business Goals
Chapter 11 - Facets of Responsible AI
References
Appendixes
As more companies go digital and conduct their business online, this book provides practical examples of how they can better manage their data and use it to generate maximum value. It offers an integrated approach by treating data as an asset and discusses how to preserve and protect it just like any other corporate asset.
Big Data Management and Analytics: Concepts, Tools, and Applications illustrates effective strategies for managing, governing, and analyzing big data to gain a competitive edge for companies utilizing big data and analytics. It offers a comprehensive guide on methods, tools, and concepts l£+
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