Designing Big Data Platforms: How to Use, Deploy, and Maintain Big Data Systems
暫譯: 設計大數據平台:如何使用、部署和維護大數據系統
Aytas, Yusuf
- 出版商: Wiley
- 出版日期: 2021-07-27
- 售價: $4,450
- 貴賓價: 9.5 折 $4,228
- 語言: 英文
- 頁數: 336
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1119690927
- ISBN-13: 9781119690924
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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
Provides expert guidance and valuable insights on getting the most out of Big Data systems
An array of tools are currently available for managing and processing data--some are ready-to-go solutions that can be immediately deployed, while others require complex and time-intensive setups. With such a vast range of options, choosing the right tool to build a solution can be complicated, as can determining which tools work well with each other. Designing Big Data Platforms provides clear and authoritative guidance on the critical decisions necessary for successfully deploying, operating, and maintaining Big Data systems.
This highly practical guide helps readers understand how to process large amounts of data with well-known Linux tools and database solutions, use effective techniques to collect and manage data from multiple sources, transform data into meaningful business insights, and much more. Author Yusuf Aytas, a software engineer with a vast amount of big data experience, discusses the design of the ideal Big Data platform: one that meets the needs of data analysts, data engineers, data scientists, software engineers, and a spectrum of other stakeholders across an organization. Detailed yet accessible chapters cover key topics such as stream data processing, data analytics, data science, data discovery, and data security. This real-world manual for Big Data technologies:
- Provides up-to-date coverage of the tools currently used in Big Data processing and management
- Offers step-by-step guidance on building a data pipeline, from basic scripting to distributed systems
- Highlights and explains how data is processed at scale
- Includes an introduction to the foundation of a modern data platform
Designing Big Data Platforms: How to Use, Deploy, and Maintain Big Data Systems is a must-have for all professionals working with Big Data, as well researchers and students in computer science and related fields.
商品描述(中文翻譯)
設計大數據平台
提供專家指導和寶貴見解,以充分利用大數據系統
目前有多種工具可用於管理和處理數據——有些是可以立即部署的現成解決方案,而另一些則需要複雜且耗時的設置。面對如此廣泛的選擇,選擇合適的工具來構建解決方案可能會變得複雜,確定哪些工具能夠良好協作也同樣困難。設計大數據平台 提供了清晰且權威的指導,幫助讀者做出成功部署、運營和維護大數據系統所需的關鍵決策。
這本實用指南幫助讀者了解如何使用知名的 Linux 工具和數據庫解決方案來處理大量數據,使用有效的技術從多個來源收集和管理數據,將數據轉化為有意義的商業洞察,等等。作者 Yusuf Aytas 是一位擁有豐富大數據經驗的軟體工程師,他討論了理想的大數據平台的設計:一個能夠滿足數據分析師、數據工程師、數據科學家、軟體工程師以及組織內其他各類利益相關者需求的平台。詳細而易於理解的章節涵蓋了關鍵主題,如流數據處理、數據分析、數據科學、數據發現和數據安全。這本針對大數據技術的實用手冊:
- 提供有關當前用於大數據處理和管理的工具的最新資訊
- 提供從基本腳本到分散式系統的數據管道構建的逐步指導
- 強調並解釋如何大規模處理數據
- 包括現代數據平台基礎的介紹
設計大數據平台:如何使用、部署和維護大數據系統 是所有從事大數據工作的專業人士、以及計算機科學和相關領域的研究人員和學生必備的書籍。
作者簡介
Yusuf Aytas is an experienced software engineer. He holds a Master and Bachelor of Computer Science from Bilkent University, Ankara, Turkey. Yusuf has experience in building highly scalable, optimized analytics platforms. He is proficient in agile methodologies, continuous delivery, and software development best practices.
作者簡介(中文翻譯)
Yusuf Aytas 是一位經驗豐富的軟體工程師。他擁有土耳其安卡拉比爾肯特大學的計算機科學碩士和學士學位。Yusuf 在構建高度可擴展和優化的分析平台方面具有豐富的經驗。他精通敏捷方法論、持續交付和軟體開發最佳實踐。