Big Data Systems: A 360-degree Approach
暫譯: 大數據系統：360度全方位方法
Shamsi, Jawwad Ahmed, Khojaye, Muhammad Ali
- 出版商: CRC
- 出版日期: 2023-07-24
- 售價: $2,110
- 貴賓價: 9.5 折 $2,005
- 語言: 英文
- 頁數: 340
- 裝訂: Quality Paper - also called trade paper
- ISBN: 0367755238
- ISBN-13: 9780367755232
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相關分類:
大數據 Big-data
海外代購書籍(需單獨結帳)
相關主題
商品描述
Big Data Systems encompass massive challenges related to data diversity, storage mechanisms, and requirements of massive computational power. Further, capabilities of big data systems also vary with respect to type of problems. For instance, distributed memory systems are not recommended for iterative algorithms. Similarly, variations in big data systems also exist related to consistency and fault tolerance. The purpose of this book is to provide a detailed explanation of big data systems. The book covers various topics including Networking, Security, Privacy, Storage, Computation, Cloud Computing, NoSQL and NewSQL systems, High Performance Computing, and Deep Learning. An illustrative and practical approach has been adopted in which theoretical topics have been aided by well-explained programming and illustrative examples.
Key Features:
- Introduces concepts and evolution of Big Data technology.
- Illustrates examples for thorough understanding.
- Contains programming examples for hands on development.
- Explains a variety of topics including NoSQL Systems, NewSQL systems, Security, Privacy, Networking, Cloud, High Performance Computing, and Deep Learning.
- Exemplifies widely used big data technologies such as Hadoop and Spark.
- Includes discussion on case studies and open issues.
- Provides end of chapter questions for enhanced learning.
商品描述(中文翻譯)
大數據系統 涉及與數據多樣性、儲存機制及龐大計算能力需求相關的重大挑戰。此外，大數據系統的能力也會根據問題類型而有所不同。例如，分散式記憶體系統不建議用於迭代算法。同樣，大數據系統在一致性和容錯性方面也存在變化。本書的目的是提供對大數據系統的詳細解釋。本書涵蓋多個主題，包括網路、安全性、隱私、儲存、計算、雲計算、NoSQL 和 NewSQL 系統、高效能計算以及深度學習。採用了一種具體且實用的方法，理論主題輔以清晰的程式設計和示例。
主要特點：
- 介紹大數據技術的概念和演變。
- 通過示例來幫助深入理解。
- 包含程式設計範例以便實際開發。
- 解釋多種主題，包括 NoSQL 系統、NewSQL 系統、安全性、隱私、網路、雲端、高效能計算和深度學習。
- 舉例說明廣泛使用的大數據技術，如 Hadoop 和 Spark。
- 包括案例研究和開放性問題的討論。
- 提供章末問題以增強學習效果。
作者簡介
Jawwad A. Shamsi completed B.E. (Electrical Engineering) from NED University of Enginnering and Technology, Karachi in 1998. He completed his MS in Computer and Information Sciences from University of Michigan-Dearborn, MI, USA in 2002. In 2009, he completed his PhD. from Wayne State University, MI, USA. He has also worked as a Programmar Analyst in USA from 2000 to 2002. In 2009, he joined FAST- National Univesity of Computer and Emerging Sciences (NUCES), Karachi. He has served as the head of computer science department from 2012 to 2017. Currently, he is serving as a Professor of Computer Science and Director of the Karachi Campus. He also leads a research group - syslab (http: //syslab.khi.nu.edu.pk). His research is focused on developing systems which can meet the growing needs of scalability, security, high performance, robustness, and agility. His research has been funded by different International and National agencies including NVIDIA and Higher Education Commission, Pakistan.
Muhammad Ali Khojaye has more than decade of industrial experience ranging from the cloud-native side of things to distributed systems design, CI/CD, and infrastructure. His current technical interests revolve around big data, cloud, containers, and large scale systems design. He currently lives in the Glasgow suburbs with his wife and son. When he's not at work, Ali enjoys cycling, travelling, and spending time with family and friends.
作者簡介(中文翻譯)
Jawwad A. Shamsi 於1998年在卡拉奇的NED工程與技術大學獲得電機工程學士學位。2002年，他在美國密西根州迪爾伯恩的密西根大學獲得計算機與信息科學碩士學位。2009年，他在美國密西根州韋恩州立大學獲得博士學位。他曾於2000年至2002年在美國擔任程式分析師。2009年，他加入卡拉奇的FAST-國立計算機與新興科學大學（NUCES）。他於2012年至2017年擔任計算機科學系主任。目前，他擔任計算機科學教授及卡拉奇校區主任。他還領導一個研究小組 - syslab (http://syslab.khi.nu.edu.pk)。他的研究專注於開發能夠滿足可擴展性、安全性、高性能、穩健性和靈活性日益增長需求的系統。他的研究得到了包括NVIDIA和巴基斯坦高等教育委員會在內的多個國際和國內機構的資助。
Muhammad Ali Khojaye 擁有超過十年的工業經驗，涵蓋從雲原生技術到分散式系統設計、CI/CD和基礎設施等領域。他目前的技術興趣圍繞大數據、雲端、容器和大規模系統設計。他目前與妻子和兒子居住在格拉斯哥的郊區。當他不在工作時，Ali喜歡騎自行車、旅行以及與家人和朋友共度時光。
