Course Syllabus

Course Information：

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Spring Semester Year 2026	358371	Big Data Technology and Administration	1	3.0	3	★	Yi Chun Wang	JGEE	18	0	限12人,綜科318

Course Plan：

Instructor	Yi Chun Wang
Email	bnwntut8@ntut.edu.tw
Last Updated	2026-04-11 00:20:31
Course Objective	由於雲端運算的快速發展，大量資料收集與儲存技術已成瓶頸，大數據技術與管理提供一套具延展性與容錯能力的分散儲存與計算架構, 能有效處理大量複雜數據資料的儲存與運算。 本課程除介紹現有的大數據生態與趨勢，並針對目前軟硬體架構的處理瓶頸，提供系統組態與部署、服務層級協定、監控與管理等系統性規劃的解決方案，並導入跨領域的工程管理科學知識。課程簡扼論述大數據技術與管理的重要，並在Hadoop生態系統中，以Cloudera Hadoop為應用範例，講授說明其重要性。 課程內容包括：大數據的概念、應用生態與趨勢、Hadoop硬體規格與基礎架構規劃、叢集組態與部署、叢集服務層級協定、叢集監控與管理、相關生態技術。
Course Schedule	(Syllabus, preliminary) Friday. 19:20 - 22:00 (BCD) Week# Subject to change per needs and circumstances 01 2/27 Public Holiday - 228 Peace Memorial Day 02 3/06 Syllabus & organization of all mission cases from the class 03 3/13 Big Data Application and Trend 04 3/20 Hadoop Cluster Deployment 05 3/27 Core Technologies for Big Data Management 06 4/03 Public Holiday - Spring Festival 07 4/10 Hadoop Distributed File System (HDFS) 08 4/17 MapReduce 09 4/24 YARN Applications (No Mid-term Exam) ，Check Note Column below* 10 5/01 Public Holiday - Labour Day 11 5/08 Hadoop I/O & Hadoop Cluster Hardware and Software 12 5/15 Hadoop High Available, Failover, Fensing and Federation 13 5/22 Hadoop Ecosystem Project Presentation and Q&A -1 14 5/29 Hadoop Ecosystem Project Presentation and Q&A -2 15 6/05 Hadoop Ecosystem Project Presentation and Q&A -3 16 6/12 Resource & Scheduler Management + Hadoop Security 17 6/19 Public Holiday - Dragon Boat Festival 18 6/26 Final-Exam
Evaluation and grading policy	1.作業 - Assignments including Reports , Presentation & Q&A: 50% 2.期末考 - (Final-Term Exam): 50%
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:Yes Teacher's handouts, plus the references below 1. Hadoop: The Definitive Guide, Fourth Edition, April 2015, Published by O’Reilly Media, Inc., Editor: Tom White. 2. Hadoop Essentials, First Edition, April 2015, Published by O’Reilly Media, Inc., Editor: Shiva Achari. 3. Hadoop Operation, First Edition, September 2012, Published by O’Reilly Media, Inc., Editor: Eric Sammer. 4. 大數據大時代 - 新一代儲存技術及實作，作者: 查偉，發行所:佳魁資訊， 出版日期: 2017, 3月. 5. Yusuf Aytas, Designing Big Data Platform, How to Use, Deploy and Maintain Big Data Systems, Wiley, February 2021. 6. Jimmy Lin and Chris Dyer, Data-Intensive Text Processing with MapReduce, Morgan & Claypool Publishers, 2010. 7. Holden Karau, Andy Konwinski, Patrick Wendell, Matei Zaharia, Learning Spark: Lightning-Fast Big Data Analysis, O'Reilly Media, January 2015. Additional Reading References: 8. The Google File System; https://static.googleusercontent.com/media/research.google.com/zh-TW//archive/gfs-sosp2003.pdf 9. MapReduce: Simplified Data Processing on Large Clusters; https://static.googleusercontent.com/media/research.google.com/zh-TW//archive/mapreduce-osdi04.pdf 10. Big Data associated, To-Be-Advised in class
The access to curricular consultation	Join LINE Group: https://line.me/R/ti/g/QyupgPTtHX Questions to email: bnwntut8@ntut.edu.tw
Expanding teaching and resources	● 數位教材資源應用 (Application of Digital Resources) 採用影音多媒體或具開放授權之資源（如OCW、開放教科書）作為主要或輔助教材。 Adopts multimedia or open-licensed resources (e.g., OCW, Open Textbooks) as primary or supplementary teaching materials.
The course corresponds to the SDGs	SDG4：優質教育（Quality Education） SDG8：尊嚴就業與經濟發展（Decent Work and Economic Growth） SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure）
Does the course incorporate AI	● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools） ● 簡單介紹AI的基本概念（Briefly introduce the basic concept of AI）
Note	If NTUT announces for remote class upon some specific issues, then it goes for Google Meet: https://meet.google.com/rkg-kbgv-odo LINE Group: To be advised Questions to email: bnwntut8@ntut.edu.tw SDG#4: 教育品質 SDG#8: 就業與經濟成長 SDG#9: 工業、創新、基礎建設 * 因學校通知，Week#09, 115/04/24, 中午起試場佈置，115學年四技二專統一入學測驗台北(一)考區之分區試場，將停課。授課教師將自行 擇日補課或 調整課程進度。