Big data : principles and paradigms / [electronic resource] edited by Rajkumar Buyya, Rodrigo N. Calheiros, Amir Vahid Dastjerdi. Buyya, Rajkumar, 1970- editor. Calheiros, Rodrigo N., editor. Vahid Dastjerdi, Amir, editor. Big data. QA76.9.B45 005.7 23 Includes bibliographical references and index. Online resource; title from PDF title page (ScienceDirect, viewed July 11, 2016). Big 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. 2016 Text 1 online resource (xxv, 468 pages) : http://www.sciencedirect.com/science/book/9780128053942 eng Big data. Big data.