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Hadoop 資料處理平台入門班
}}} [[PageOutline]] = 課程日期 = * 105年02月20~21日 (週六/週日 白天9:30 ~17:30 )，共2天、計14小時 。 = 上課地點 = * 10608 臺北市忠孝東路三段一號 (國立臺北科技大學光華館二樓) * [http://www.hcinnovation.tw/tc/index.php/k2-blog/item/2-have-a-dream-night-city 參考連結] * 問卷: http://goo.gl/forms/Kdvkx244bC (之後發送小禮物) = 課程內容 = * [raw-attachment:wiki:NTUT160220:16-02-20_Big_Data_Hadoop_Ecosystem.pdf 完整版投影片] == '''2016-02-20（六）''' == || 上午時段 || 課程內容 || 投影片 || 實作 || 補充資料 || || 09:30~11:15 || 淺談巨量資料的趨勢、挑戰與因應對策 || [raw-attachment:wiki:NTUT160220:part-1.pdf part-1][[BR]][raw-attachment:wiki:NTUT160220:part-2.pdf part-2] || || [http://www.slideshare.net/jazzwang/big-data-projet-management-the-body-of-knowledge-bdpmbok BDPMBOK 大數據專案管理知識體系]|| || 11:15~11:30 || 中場休息 || || || || || 11:30~12:00 || Future of Big Data || [raw-attachment:wiki:NTUT160220:part-1.pdf part-1][[BR]][raw-attachment:wiki:NTUT160220:part-2.pdf part-2] || || [http://www.slideshare.net/jazzwang/big-data-projet-management-the-body-of-knowledge-bdpmbok BDPMBOK 大數據專案管理知識體系]|| || 12:00~13:30 || 午餐、午休 || || || || || 下午時段 || 課程內容 || 投影片 || 實作 || 補充資料 || || 11:15~12:00 || 實作一：Hadoop 單機安裝 || || [wiki:NTUT160220/Lab1 實作一][[BR]][wiki:NTUT160220/Lab2 實作二] || || || 11:10~12:00 || Hadoop 簡介：緣起與術語 || [raw-attachment:wiki:NTUT160220:part-3.pdf part-3] || || || || 13:00~14:20 || HDFS 觀念與指令解說 || [raw-attachment:wiki:NTUT160220:part-4.pdf part-4] || || || || 14:20~15:30 || 中場休息 || || || || || 15:30~16:30 || 實作二：HDFS 操作實務 || || [wiki:NTUT160220/Lab3 實作三][[BR]][wiki:NTUT160220/Lab4 實作四] || || || 09:30~11:10 || MapReduce 簡介 || [raw-attachment:wiki:NTUT160220:part-5.pdf part-5] || || || || 11:10~11:20 || 中場休息 || || || || || 11:10~12:20 || 實作三：MapReduce 範例操作 || || [wiki:NTUT160220/Lab5 實作五][[BR]][wiki:NTUT160220/Lab6 實作六] || || == '''2016-02-21（日）''' == || 上午時段 || 課程內容 || 投影片 || 實作 || 補充資料 || || 13:30~14:00 || Hadoop 相關專案(1) Hadoop Streaming || [raw-attachment:wiki:NTUT160220:part-6.pdf part-6] || || || || 14:00~14:25 || 實作五：Hadoop Streaming 操作練習 || || [wiki:NTUT160220/Lab7 實作七][[BR]][wiki:NTUT160220/Lab8 實作八] || || || 14:25~14:35 || 中場休息 || || || || || 14:35~15:30 || Hadoop 相關專案(2) - Pig || [raw-attachment:wiki:NTUT160220:part-7.pdf part-7] || || 1.[http://stackoverflow.com/questions/10942739/a-way-to-read-table-data-from-mysql-to-pig 將 Pig 運算結果透過 DBStorage 存到 MySQL 資料庫] [[BR]] 2. [http://sublogical.blogspot.tw/2011/10/cross-posted-from-my-company-blog-post.html 將 Pig 運算結果透過 HBaseStorage 存到 HBase 資料庫] [[BR]] 3. [http://blog.mortardata.com/post/61678005593/xml-pig-loader Pig 拿 XML 當輸入] || || 15:30~16:00 || 實作六：Pig Latin 操作練習 || || [wiki:NTUT160220/Lab9 實作九] || || || 16:00~16:10 || 中場休息 || || || || || 16:10~16:30 || HBase 操作觀察 || || [wiki:NTUT160220/Lab10 實作十] || 1.關於 NoSQL 的選擇依據 - [wiki:NCHCCloudCourse100928#補充資料 YCSB] [[BR]] 2. [http://nosql-database.org/ NoSQL 的種類] [[BR]] 3. [http://www.infoq.com/news/2011/04/newsql NoSQL vs NewSQL] || * http://hive.3du.me * http://impala.3du.me * http://bdc2015.3du.me = 參考書目 = 1. [http://lintool.github.com/MapReduceAlgorithms/MapReduce-book-final.pdf Data-Intensive Text Processing with MapReduce] (PDF),[http://www.umiacs.umd.edu/~jimmylin/book.html Jimmy Lin, University of Maryland] = 參考資料 = * [http://trac.3du.me/cloud/wiki/NCHCCloudCourse100928_MYSQL Hadoop 與 RDBMS 的支援] * [raw-attachment:wiki:jazz/hidoop:12-07-24_hiCloud_Hadoop.pdf 運用 hiCloud 搭建 Hadoop 叢集] * Hadoop 常見應用領域： * [http://www-304.ibm.com/easyaccess/fileserve?contentid=217007 Data Intensive Analytics with Hadoop: A Look Inside] * [http://www.youtube.com/watch?v=fVL93-OF1gc Using Hadoop to fight spam in Yahoo! Mail] - 雅虎信箱 * 商業智慧 * http://www.pentaho.com/ - Pentaho 這間 BI 公司是 Hadoop 技術的長期支持者 * 金融業 * 2010-10-12 : VISA 採用 Hadoop 做風險評估 - [http://www.slideshare.net/cloudera/hw09-large-scale-transaction-analysis HadoopWorld 2009 : Large Scale Transaction Analysis] * 中國信託 * 電信業 * 2011-06-12 : [http://www.ithome.com.tw/itadm/article.php?c=68023 中華電信用Hadoop技術分析通話明細] * 人力資源 * [http://www.simplyhired.com/a/jobtrends/trend/q-xen%2C+hyper-v%2C+hbase%2C+hadoop SimplyHired 就業技能調查排行榜] * [http://www.indeed.com/jobtrends?q=xen%2C+hyper-v%2C+hbase%2C+hadoop&l= Indeed 就業技能調查排行榜] * 行銷趨勢 * [http://www.eland.com.tw/solutions/opview_insight 意藍科技 雲端服務 OpView 品牌口碑雷達] - ([http://www.eland.com.tw/news/news/20100506 2010-05-06]) * [http://www.i-buzz.com.tw/index.asp i-Buzz網路口碑研究中心] * 科學教育 * 生資 * [http://www.slideshare.net/mndoci/hadoop-for-bioinformatics Hadoop for Bioinformatics] * [http://cloudcomputing.sys-con.com/node/1869333 The Future of Hadoop in Bioinformatics] * [http://abhishek-tiwari.com/2010/08/mapreduce-and-hadoop-algorithms-in-bioinformatics-papers.html Mapreduce and Hadoop Algorithms in Bioinformatics Papers] * 統計 * [https://mpi-inf.mpg.de/~rgemulla/publications/das10ricardo.pdf Ricardo: Integrating R and Hadoop] * [http://www.rhipe.org RHIPE: R and Hadoop Integrated Programming Environment]