Big data : principles and paradigms

Author(s)

• Buyya, Rajkumar
• Calheiros, Rodrigo N.
• Dastjerdi, Amir Vahid

Bibliographic Information

Big data : principles and paradigms

edited by Rajkumar Buyya, Rodrigo N. Calheiros, Amir Vahid Dastjerdi

Morgan Kaufmann, an imprint of Elsevier, c2016

• : [pbk.]

Note

Includes bibliographical references and index

Description and Table of Contents

Description

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.

Table of Contents

Part I: Big Data Science Part II: Big Data Infrastructures and Platforms Part III: Big Data Security and Policy Part IV: Big Data Applications

by "Nielsen BookData"

Details

• NCID: BB22455945
• ISBN:
  • 9780128053942
• Country Code: ne
• Title Language Code: eng
• Text Language Code: eng
• Place of Publication: Amsterdam ; Tokyo
• Pages/Volumes: xxv, 468 p.
• Size: 24 cm
• Classification:
  • DC23 : 005.7
• Subject Headings:
  • LCSH : Big data