Development Methodologies for Big Data Analytics Systems

£129.99

Development Methodologies for Big Data Analytics Systems

Plan-driven, Agile, Hybrid, Lightweight Approaches

Communications engineering / telecommunications Databases Data mining Expert systems / knowledge-based systems

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Collection: Transactions on Computational Science and Computational Intelligence

Language: English

Published by: Springer

Published on: 3rd November 2023

Format: LCP-protected ePub

ISBN: 9783031409561


Overview

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.

Introduction to BDA Systems

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.

Research and Methodologies

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.

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