© 2018 – Auerbach Publications
503 pages | 120 B/W Illus.
Agile is a set of values, principles, techniques, and frameworks for the adaptable, incremental, and efficient delivery of work. Big Data is a rapidly growing field that encompasses crucial aspects of data such as its volume, velocity, variety, and veracity. This book outlines a strategic approach to Big Data that will render a business Agile. It discusses the important competencies required to streamline and focus on the analytics and presents a roadmap for implementing such analytics in business.
Introduction to Big Data and Agile Business
Big Data Framework for Agile Business (BDFAB)Data Science – Analytics, Context and Strategies
Business Process Modeling (BPM); Agile Practices; Big Data Adoption Process
Enterprise Architecture (EA) and the Big Data Technical Eco-System
Social Mobile (SoMo), Presentation and User Experience in Big DataCloud-Based Big Data Strategies; Sustainability; Analytics-as-a-Service (AaaS)
Big Data, Semantic Web and Collaborative Business Process Engineering (CBPE)
NoSQL Databases and Big Data Strategies
Quality& Service Assurance, Testing and Governance-Risk-Compliance (GRC) Within Big Data
Big Data People and Communities
Functioning Agile Organization with Big Data Adoption
Big Data and Banking: A-Bank Case Study
Big Data and Health
Big Data and Education