Development Methodologies for Big Data Analytics Systems: Plan-driven, Agile, Hybrid, Lightweight Approaches (1st ed. 2024) (Transactions on Computational Science and Computational Intelligence)

By: Manuel Mora and Fen Wang and Jorge Marx Gomez and Hector Duran-Limon

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Synopsis: This book presents research in big data analytics (BDA) for business of all sizes. The authors analyze problems presented in the application of BDA in some businesses through the study of development methodologies based on the three approaches – 1) plan-driven, 2) agile and 3) hybrid lightweight. The authors first describe BDA systems and how they emerged with the convergence of Statistics, Computer Science, and Business Intelligent Analytics with the practical aim to provide concepts, models, methods and tools required for exploiting the wide variety, volume, and velocity of available business internal and external data - i.e. Big Data – and provide decision-making value to decision-makers. The book presents high-quality conceptual and empirical research-oriented chapters on plan-driven, agile, and hybrid lightweight development methodologies and relevant supporting topics for BDA systems suitable to be used for large-, medium-, and small-sized business organizations.

Book Quality:: Publisher Quality
ISBN-13:: 9783031409561
Related ISBNs:: 9783031409554
Publisher:: Springer International Publishing
Date of Addition:: 11/04/23
Copyrighted By:: The Editor
Adult content:: No
Language:: English
Has Image Descriptions:: No
Categories:: Nonfiction, Computers and Internet, Technology, Mathematics and Statistics, Communication
Submitted By:: Bookshare Staff
Usage Restrictions:: This is a copyrighted book.
Edited by:: Manuel Mora
Edited by:: Fen Wang
Edited by:: Jorge Marx Gomez
Edited by:: Hector Duran-Limon