本課程目標是讓學生能夠了解大數據相關技術與議題，包含大數據計算環境建置、雲端計算架構與服務建置、大數據資料倉儲到資料分析技術。透過一系列的大數據應用實例探討、模擬並進行小組專題製作，藉以加強學生在大數據時代的實作能力，讓學生實際接觸大數據應用。
The purpose of this course is to enable students to understand large data-related technologies and topics, including large data computing environment construction, cloud computing architecture and service construction, and large data data transfer to data analysis technology. Through a series of large-data application examples, we explore, simulate and produce small groups of topics to enhance students' practical ability in the big data era and allow students to actually contact large-data applications.
1. O'Neil, Cathy,Schutt, Rachel,Doing data science :Sebastopol, CAO'Reilly,2014.
2. Lam, Chuck.Hadoop in action /Greenwich, Conn. :Manning Publicationsc, 2011.
3. Capriolo, Edward.Rutherglen, Jason.Wampler, Dean.Programming Hive /1st ed.Sebastopol, CA :O'Reilly & Associates, 2012.
1. O'Neil, Cathy, Schutt, Rachel, Doing data science :Sebastopol, CAO'Reilly, 2014.
2. Lam, Chuck.Hadoop in action /Greenwich, Conn. :Manning Publicationsc, 2011.
3. Capriolo, Edward.Rutherglen, Jason.Wampler, Dean.Programming Hive /1st ed.Sebastopol, CA :O'Reilly & Associates, 2012.
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 平時成績(出席、參與及作業)平時成績(出席、參與及作業) Regular achievements (attendance, participation and work) |
40 | |
| 期末論文報告/專題發表期末論文報告/專題發表 Final commentary report/project release |
60 |
