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- Timestamp:
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Nov 3, 2008, 11:34:41 AM (16 years ago)
- Author:
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jazz
- Comment:
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14 | 14 | The Grid Computing group at Yahoo! Bangalore focuses on Grid frameworks that scale to thousands of machines and handle peta-bytes of data. The group is especially involved in the development of the Open Source Hadoop platform and its deployment within Yahoo!. |
15 | 15 | |
16 | | = 2008-11-04 = |
| 16 | = 2008-11-04 上午 = |
17 | 17 | |
18 | 18 | * 時間:11/04 星期二 上午 11:00 - 12:30 |
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… |
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29 | 29 | I hope to engage the open-source community on Hadoop and encourage participation in its development. I will present an overview of Hadoop and its architecture with a focus on the Map-Reduce component. I will describe the engineering challenges and briefly talk about how Hadoop clusters are used in Yahoo!. |
30 | 30 | |
| 31 | = 2008-11-04 下午 = |
| 32 | |
| 33 | * 時間:11/04 星期二 下午 14:00 - 17:00 |
| 34 | * 地點:北群多媒體教室 |
| 35 | * 講員:Devaraj Das,Yahoo! Bangalore Grid Computing Group 的 Engineering Manager,亦為 Apache Committer |
| 36 | * 主題:Hadoop Hands-on Labs (1) |
| 37 | * Basics of DFS commands |
| 38 | * How to develop MapReduce program using Hadoop? |
| 39 | |
| 40 | == 實作練習摘要 == |
| 41 | |
| 42 | Hadoop 主要由 Hadoop Distributed File System(HDFS)、MapReduce API 與 Job 管理三個部份組成,缺一不可。本實作將帶領大家體驗一次如何運用 Hadoop 所提供的 MapReduce API 來撰寫簡單的 MapReduce 程式。 |
| 43 | |
| 44 | == 與會須知 == |
| 45 | |
| 46 | 欲參加 Hands-on Lab 的同仁請自行攜帶筆記型電腦,並先行下載 JDK6 、 ant 與 Hadoop 1.8 版本。 |
| 47 | |
| 48 | * JDK 6 - http://java.sun.com/ |
| 49 | * ant - http://ant.apache.org/ |
| 50 | * Hadoop - http://ftp.twaren.net/Unix/Web/apache/hadoop/core/ |
| 51 | |
| 52 | = 2008-11-04 下午 = |
| 53 | |
| 54 | * 時間:11/04 星期二 下午 14:00 - 17:00 |
| 55 | * 地點:北群多媒體教室 |
| 56 | * 講員:Devaraj Das,Yahoo! Bangalore Grid Computing Group 的 Engineering Manager,亦為 Apache Committer |
| 57 | * 主題:Hadoop Hands-on Labs (1) |
| 58 | * Basics of DFS commands |
| 59 | * How to develop MapReduce program using Hadoop? |
| 60 | |
| 61 | == 實作練習摘要 == |
| 62 | |
| 63 | Hadoop 主要由 Hadoop Distributed File System(HDFS)、MapReduce API 與 Job 管理三個部份組成,缺一不可。 |
| 64 | |
| 65 | == 與會須知 == |
| 66 | |
| 67 | 欲參加 Hands-on Lab 的同仁請自行攜帶筆記型電腦,並先行下載 JDK6 、 ant 與 Hadoop 1.8 版本。 |
| 68 | |
| 69 | * JDK 6 - http://java.sun.com/ |
| 70 | * ant - http://ant.apache.org/ |
| 71 | * Hadoop - http://ftp.twaren.net/Unix/Web/apache/hadoop/core/ |