This book addresses the impacts of various types of services such as infrastructure, platforms, software, and business processes that cloud computing and Big Data have introduced into business. Featuring chapters which discuss effective and efficient approaches in dealing with the inherent complexity and increasing demands in data science, a variety of application domains are covered. Various case studies by data management and analysis experts are presented in these chapters. Covered applications include banking, social networks, bioinformatics, healthcare, transportation and criminology....

This book addresses and examines the impacts of applications and services for data management and analysis, such as infrastructure, platforms, software, and business processes, on both academia and industry.

This guidebook highlights the process of a software internship project facilitated by the Schulich School of Engineering. The Scrum Team is comprised of student developers pursuing either a master’s or bachelor’s degree in Software Engineering with their professor as the stakeholder, a consulting tech company serving as the product owner, and a graduate student and seasoned industry expert as project leads. The story of this software development process is communicated through the perspectives of an observing undergraduate SE student and the team, mainly through meetings, interviews, and...