Development Methodologies for Big Data Analytics Systems

Development Methodologies for Big Data Analytics Systems Plan-Driven, Agile, Hybrid, Lightweight Approaches - Transactions on Computational Science and Computational Intelligence

Hardback (04 Nov 2023)

  • $192.24
Add to basket

Includes delivery to the United States

10+ copies available online - Usually dispatched within 7 days

Publisher's 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 information

ISBN: 9783031409554
Publisher: Springer International Publishing
Imprint: Springer
Pub date:
DEWEY: 658.05
DEWEY edition: 23
Language: English
Number of pages: 418
Weight: 590g
Height: 235mm
Width: 155mm
Spine width: 18mm