Buyya R., Calheiros R., Dastjerdi A. (Eds.) Big Data: Principles and Paradigms

Morgan Kaufmann, 2016. — 477 p. — ISBN: 978-0-12-805394-2Big Data: Principles and Paradigms captures the state-of-the-art research on the architectural aspects, technologies, and applications of Big Data. The book identifies potential future directions and technologies that facilitate insight into numerous scientific, business, and consumer applications.
To help realize Big Data’s full potential, the book addresses numerous challenges, offering the conceptual and technological solutions for tackling them. These challenges include life-cycle data management, large-scale storage, flexible processing infrastructure, data modeling, scalable machine learning, data analysis algorithms, sampling techniques, and privacy and ethical issues.
Key Features
Covers computational platforms supporting Big Data applications
Addresses key principles underlying Big Data computing
Examines key developments supporting next generation Big Data platforms
Explores the challenges in Big Data computing and ways to overcome them
Contains expert contributors from both academia and industry
Readership
Data Scientists, Data Architects, DevOps Engineers, Cloud developers and more. Graduate Data Science students and other academic researchers