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Development Methodologies for Big Data Analytics Systems
Plan-driven, Agile, Hybrid, Lightweight Approaches
Langbeschreibung
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.
Inhaltsverzeichnis
Introduction.- Section I - Foundations on Big Data Analytics Systems.- Big Data Analytics foundations.- Big Data Science foundations.- Big Data Analytics Systems Frameworks.- Big Data Analytics Systems Architectures.- Big Data Analytics Tools and Platforms.- Big Data Analytics Computational Techniques.- Section II - Plan-Driven Development Methodologies for Big Data Analytics Systems.- CRISP-DM.- SEMMA.- KDD.- Section III - Emergent Agile and Hybrid Lightweight Development.- Methodologies for Big Data Analytics Systems.- Scrum.- ISO/IEC 29110.- Microsoft TDSP.- Section IV - Cases Studies of Big Data Analytics Systems Projects.- Applications in Healthcare.- Applications in Marketing.- Applications in Financial.- Applications in Education.- Applications in Sports.- Section V - Challenges and Future Directions on Big Data Analytics Systems Projects.- Review of challenges.- Current problems and limitations.- Future directions.- Conclusion.
Manuel Mora is a full-time Professor in the Information Systems Department at the Autonomous University of Aguascalientes (UAA), Mexico. Dr. Mora holds an M.Sc. in Computer Sciences (Artificial Intelligence area, 1989) from Monterrey Tech (ITESM), and an Eng.D. in Engineering (Systems Engineering area, 2003) from the National Autonomous University of Mexico (UNAM). He has published over 90 research papers in international top conferences, research books, and journals such as IEEE-TSMC, European Journal of Operational Research, Int. Journal of Information Management, Engineering Management, Int. J. of Information Technology and Decision Making, Information Technology for Development, Int. J. in Software Engineering and Knowledge Engineering, and Computer Standards & Interface. Dr. Mora is a senior member of ACM (since 2008), an SNI at Level II, and serves in the ERB of several international journals indexed by Emergent Source Citation Index focused on decision-making support systems(DMSS) and IT services systems.
ISBN-13:
9783031409561
Veröffentl:
2023
Seiten:
280
Autor:
Manuel Mora
Serie:
Transactions on Computational Science and Computational Intelligence
eBook Typ:
PDF
eBook Format:
EPUB
Kopierschutz:
1 - PDF Watermark
Sprache:
Englisch
149,79 €*
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