Development Methodologies for Big Data Analytics Systems
Plan-driven, Agile, Hybrid, Lightweight Approaches
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Beschreibung
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.
- Addresses the mathematical, statistical and computational foundations and techniques of Big Data Analytics;
- Includes specific research problems in the development methodologies from a Systems and Software perspective;
- Presents successful BDA systems applied in diverse domains such as Healthcare, Logistics, Finance, Marketing, Retail, and Education.
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.
Addresses the mathematical, statistical and computational foundations and techniques of Big Data Analytics Includes specific research problems in the development methodologies from a Systems and Software perspective Presents successful BDA systems applied in diverse domains such as Healthcare, Logistics, Finance
Autor*in
Manuel Mora
Themen in »Development Methodologies for Big Data Analytics Systems«
Big Data Analytics Systems Big Data Development Methodologies CRISP-DM SEMMA and KDD Scrum Agile practices Data Analytics Science