Big data : principles and paradigms

著者

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

書誌事項

Big data : principles and paradigms

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

Morgan Kaufmann, an imprint of Elsevier, c2016

• : [pbk.]

注記

Includes bibliographical references and index

内容説明・目次

内容説明

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.

目次

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

「Nielsen BookData」 より

詳細情報

• NII書誌ID(NCID): BB22455945
• ISBN:
  • 9780128053942
• 出版国コード: ne
• タイトル言語コード: eng
• 本文言語コード: eng
• 出版地: Amsterdam ; Tokyo
• ページ数/冊数: xxv, 468 p.
• 大きさ: 24 cm
• 分類:
  • DC23 : 005.7
• 件名:
  • LCSH : Big data