Big Data Analytics: A Practical Guide for Managers
暫譯: 大數據分析：管理者實用指南
Pries, Kim H., Dunnigan, Robert
- 出版商: Auerbach Publication
- 出版日期: 2022-07-12
- 售價: $2,450
- 貴賓價: 9.5 折 $2,328
- 語言: 英文
- 頁數: 576
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1032340193
- ISBN-13: 9781032340197
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相關分類:
大數據 Big-data、Data Science
海外代購書籍(需單獨結帳)
相關主題
商品描述
With this book, managers and decision makers are given the tools to make more informed decisions about big data purchasing initiatives. Big Data Analytics: A Practical Guide for Managers not only supplies descriptions of common tools, but also surveys the various products and vendors that supply the big data market.
Comparing and contrasting the different types of analysis commonly conducted with big data, this accessible reference presents clear-cut explanations of the general workings of big data tools. Instead of spending time on HOW to install specific packages, it focuses on the reasons WHY readers would install a given package. The book provides authoritative guidance on a range of tools, including open source and proprietary systems. It details the strengths and weaknesses of incorporating big data analysis into decision-making and explains how to leverage the strengths while mitigating the weaknesses.- Describes the benefits of distributed computing in simple terms
- Includes substantial vendor/tool material, especially for open source decisions
- Covers prominent software packages, including Hadoop and Oracle Endeca
- Examines GIS and machine learning applications
- Considers privacy and surveillance issues
The book further explores basic statistical concepts that, when misapplied, can be the source of errors. Time and again, big data is treated as an oracle that discovers results nobody would have imagined. While big data can serve this valuable function, all too often these results are incorrect, yet are still reported unquestioningly. The probability of having erroneous results increases as a larger number of variables are compared unless preventative measures are taken.
The approach taken by the authors is to explain these concepts so managers can ask better questions of their analysts and vendors as to the appropriateness of the methods used to arrive at a conclusion. Because the world of science and medicine has been grappling with similar issues in the publication of studies, the authors draw on their efforts and apply them to big data.商品描述(中文翻譯)
這本書為管理者和決策者提供了工具，以便在大數據購買計畫中做出更明智的決策。《大數據分析：管理者的實用指南》不僅提供了常見工具的描述，還調查了供應大數據市場的各種產品和供應商。
本書比較和對比了常見的大數據分析類型，這本易於理解的參考書清楚地解釋了大數據工具的一般運作方式。它不會花時間在如何安裝特定套件上，而是專注於讀者為何要安裝某個套件的原因。
本書提供了關於各種工具的權威指導，包括開源和專有系統。它詳細說明了將大數據分析納入決策過程的優勢和劣勢，並解釋了如何利用優勢同時減輕劣勢。
- 以簡單的術語描述分散式計算的好處
- 包含大量供應商/工具的資料，特別是針對開源決策
- 涵蓋了重要的軟體包，包括Hadoop和Oracle Endeca
- 檢視GIS和機器學習應用
- 考慮隱私和監控問題
本書進一步探討了基本統計概念，這些概念在錯誤應用時可能成為錯誤的來源。大數據經常被視為一種能發現人們無法想像的結果的神諭。雖然大數據可以發揮這一有價值的功能，但這些結果往往是錯誤的，卻仍然不加質疑地被報導。隨著比較的變數數量增加，出現錯誤結果的概率也會增加，除非採取預防措施。
作者採取的方式是解釋這些概念，以便管理者能夠向分析師和供應商提出更好的問題，詢問用於得出結論的方法是否適當。由於科學和醫學界在研究發表中面臨類似問題，作者借鑒了他們的努力並將其應用於大數據。
作者簡介
Kim H. Pries has four college degrees: a bachelor of arts in history from the University of Texas at El Paso (UTEP), a bachelor of science in metallurgical engineering from UTEP, a master of science in engineering from UTEP, and a master of science in metallurgical engineering and materials science from Carnegie-Mellon University.
Pries worked as a computer systems manager, a software engineer for an electrical utility, and a scientific programmer under a defense contract for Stoneridge, Incorporated (SRI). He has worked as software manager, engineering services manager, reliability section manager, and product integrity and reliability director. In addition to his other responsibilities, Pries has provided Six Sigma training for both UTEP and SRI and cost reduction initiatives for SRI. Pries is also a founding faculty member of Practical Project Management. Additionally, in concert with Jon Quigley, Pries was a cofounder and principal with Value Transformation, LLC, a training, testing, cost improvement, and product development consultancy. He trained for Introduction to Engineering Design and Computer Science and Software Engineering with Project Lead the Way. He currently teaches biotechnology, computer science and software engineering, and introduction to engineering design at the beautiful Parkland High School in the Ysleta Independent School District of El Paso, Texas.Robert Dunnigan is a manager with Janus Consulting Partners and is based in Dallas, Texas. He holds a bachelor of science in psychology and in sociology with an anthropology emphasis from North Dakota State University. He also holds a master of business administration from INSEAD, the business school for the world, where he attended the Singapore campus. As a Peace Corps volunteer, Robert served over 3 years in Honduras developing agribusiness opportunities. As a consultant, he later worked on the Afghanistan Small and Medium Enterprise Development project in Afghanistan, where he traveled the country with his Afghan colleagues and friends seeking opportunities to develop a manufacturing sector in the country. Robert is an American Society for Quality-certified Six Sigma Black Belt and a Scrum Alliance-certified Scrum Master.
作者簡介(中文翻譯)
金·H·普里斯擁有四個大學學位：德克薩斯州埃爾帕索大學（UTEP）的歷史學文學士、UTEP的冶金工程學理學士、UTEP的工程學理學碩士，以及卡內基梅隆大學的冶金工程與材料科學理學碩士。
普里斯曾擔任計算機系統經理、電力公用事業的軟體工程師，以及在斯通里奇公司（Stoneridge, Incorporated，簡稱SRI）擔任國防合約下的科學程式設計師。他曾擔任軟體經理、工程服務經理、可靠性部門經理，以及產品完整性與可靠性總監。除了其他職責外，普里斯還為UTEP和SRI提供六西格瑪（Six Sigma）培訓，並為SRI推動成本降低計畫。普里斯也是實用專案管理的創始教職成員。此外，與喬恩·奎格利（Jon Quigley）合作，普里斯是Value Transformation, LLC的共同創辦人及主要成員，該公司專注於培訓、測試、成本改善和產品開發諮詢。他曾在「引導專案之路」（Project Lead the Way）進行工程設計與計算機科學及軟體工程的介紹培訓。他目前在德克薩斯州埃爾帕索的伊斯萊塔獨立學區的美麗帕克蘭高中教授生物技術、計算機科學與軟體工程，以及工程設計入門課程。羅伯特·鄧尼根是Janus Consulting Partners的經理，駐於德克薩斯州達拉斯。他擁有北達科他州立大學的心理學和社會學（人類學重點）理學士學位，並持有INSEAD的工商管理碩士學位，該商學院位於新加坡校區。作為和平隊志工，羅伯特在洪都拉斯服務超過三年，發展農業商機。作為顧問，他後來參與了阿富汗中小企業發展專案，與阿富汗同事和朋友一起在該國旅行，尋找發展製造業的機會。羅伯特是美國品質協會（American Society for Quality）認證的六西格瑪黑帶（Six Sigma Black Belt），以及Scrum Alliance認證的Scrum Master。
