
Big Data Management and Analytics
Concepts, Tools, and Applications
- 194 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Big Data Management and Analytics
Concepts, Tools, and Applications
About this book
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 to efficiently manage and analyze big data in order to make informed decisions. Additionally, this book explores the significance of artificial intelligence and machine learning in leveraging big data and how they can be optimized in a well-structured environment. This book also emphasizes treating big data as a valuable asset and outlines strategies for preserving and safeguarding it like any other corporate asset. The inclusion of case studies ensures that the methodologies and concepts presented can be easily implemented in day-to-day operations.
Given the current significance of big data in the business world, this book equips readers with the necessary skills to effectively manage this valuable asset. It is tailored for practitioners, students, and professionals working in data mining, big data, and machine learning across various industries, including manufacturing.
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Information
Table of contents
- Cover
- Half Title
- Title Page
- Copyright Page
- Table of Contents
- Preface and Acknowledgments
- 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 Analysis 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
- Appendix I
- Appendix II: Orthogonal Arrays (OAs)
- Index