Big Data: Principles and Paradigms

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.

• 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

《Big Data: Principles and Paradigms》捕捉了關於大數據的架構、技術和應用的最新研究成果。該書確定了潛在的未來方向和技術，以促進對科學、商業和消費者應用的深入洞察。

為了幫助實現大數據的全部潛力，該書解決了眾多挑戰，提供了概念和技術解決方案。這些挑戰包括生命周期數據管理、大規模存儲、靈活的處理基礎設施、數據建模、可擴展的機器學習、數據分析算法、抽樣技術以及隱私和倫理問題。

該書涵蓋了支持大數據應用的計算平台，探討了大數據計算的基本原則，研究了支持下一代大數據平台的關鍵發展，探討了大數據計算中的挑戰以及克服這些挑戰的方法，並包含了來自學術界和工業界的專家貢獻者。