From Big Data to Intelligent Data: An Applied Perspective 1st ed. 2021 Edition

From Big Data to Intelligent Data: An Applied Perspective 1st ed. 2021 Edition book cover

From Big Data to Intelligent Data: An Applied Perspective 1st ed. 2021 Edition

Author(s): Fady A. Harfoush (Author)

  • Publisher: Springer
  • Publication Date: 28 Jun. 2022
  • Edition: 1st ed. 2021
  • Language: English
  • Print length: 122 pages
  • ISBN-10: 3030769925
  • ISBN-13: 9783030769925

Book Description

This book addresses many of the gaps in how industry and academia are currently tackling problems associated with big data. It introduces novel concepts, describes the end-to-end process, and connects the various pieces of the puzzle to offer a holistic view. In addition, it explains important concepts for a wide audience, using accessible language, diagrams, examples and analogies to do so. The book is intended for readers working in industry who want to expand their knowledge or pursue a related degree, and employs an industry-centered perspective.


Editorial Reviews

From the Back Cover

This book addresses many of the gaps in how industry and academia are currently tackling problems associated with big data. It introduces novel concepts, describes the end-to-end process, and connects the various pieces of the puzzle to offer a holistic view. In addition, it explains important concepts for a wide audience, using accessible language, diagrams, examples and analogies to do so. The book is intended for readers working in industry who want to expand their knowledge or pursue a related degree, and employs an industry-centered perspective.

About the Author

Dr. Fady A. Harfoush is the director of the CME Group Foundation Business Analytics Lab and an executive lecturer at the Quinlan School of Business, Loyola University, Chicago, USA. Prior to joining Quinlan, he served as the director of data warehouse and applications development for Thomson Reuters, a leading provider of multiple aggregated financial data. Dr. Harfoush is also the co-founder of Social Market Analytics (SMA), a leader in harnessing the massive amount of unstructured social and financial data currently being generated.

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