Big Data

Erscheinungsjahr 2016
ISBN: 978-0-12-805394-2
Verlag: Elsevier Science & Technology

Buch, Englisch, 494 Seiten, Format (B × H): 189 mm x 233 mm, Gewicht: 1035 g

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.

Autoren/Hrsg.

Buyya, Rajkumar

Calheiros, Rodrigo N.

Vahid Dastjerdi, Amir

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken

Inhaltsverzeichnis

Part I: Big Data Science

Part II: Big Data Infrastructures and Platforms

Part III: Big Data Security and Policy

Part IV: Big Data Applications

Über Autor(innen)

Vahid Dastjerdi, Amir
Dr. Amir Vahid Dastjerdi is a research fellow with the Cloud Computing and Distributed Systems (CLOUDS) laboratory at the University of Melbourne. He received his PhD in computer science from the University of Melbourne and his areas of interest include Internet of Things, Big data, and cloud computing. He is a technology enthusiast who has over a decade experience in distributed systems.

Calheiros, Rodrigo N.
Dr. Rodrigo Calheiros is a Research Fellow in the Department of Computing and Information Systems, The University of Melbourne, Australia. He has been doing contribution in the fields of big data and cloud computing since 2009. He designed and developed CloudSim, an Open Source tool for simulation of cloud platforms used research centers, universities, and companies worldwide.