图 书 馆
大数据Hadoop和MapReduceBigData and MapReduce with Hadoop |
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| 课程网址: | http://videolectures.net/classconference2012_tomasic_hadoop/ |
| 主讲教师: | Ivan Tomašić |
| 开课单位: | 约瑟夫·斯特凡学院 |
| 开课时间: | 2012-11-16 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | MapReduce is a programming model implemented with a library for processing large datasets - often termed as BigData - on clusters of commodity computers. MapReduce is typically used for distributed processing of non-structured datasets. The map function processes key/value pairs and generates intermediate key/value pairs based on user specified map function. The reduce function merges and processes intermediate values belonging to the same key. A simple example of MapReduce will be shown on the open source software framework Apache Hadoop. |
| 关 键 词: | 电脑; 数据; 软件 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-07-23：yumf |
| 阅读次数: | 26 |