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Learning Apache Hadoop

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Learning Apache Hadoop 

English | 2014-04-28 | .MP4 | Audio: aac, 44100 Hz, mono | Video: h264, yuv420p, 1280x720, 15.00 fps(r) | 900 MB

Genre: E-learning | Duration: 7.5 hours - 54 tutorial videos | Date Released: 2014-04-30

In this Introduction to Hadoop training course, expert author Rich Morrow will teach you the tools and functions needed to work within this open-source software framework. This course is designed for the absolute beginner, meaning no prior experience with Hadoop is required.

You will start out by learning the basics of Hadoop, including the Hadoop run modes and job types and Hadoop in the cloud. You will then learn about the Hadoop distributed file system (HDFS), such as the HDFS architecture, secondary name node, and access controls. This video tutorial will also cover topics including MapReduce, debugging basics, hive and pig basics, and impala fundamentals. Finally, Rich will teach you how to import and export data.

Once you have completed this computer based training video, you will be fully capable of using the tools and functions you’ve learned to work successfully in Hadoop. Working files are included, allowing you to follow along with the author throughout the lessons.

Learning Apache Hadoop

Learning Apache Hadoop

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  1. 学习Apache Hadoop 在这套Hadoop培训教程中,专业作家Rich Morrow会为我们讲授使用开源软件框架所需要的工具和功能。本教程为初学者所设计,无需Hadoop的任何经验。 你会从学习Hadoop基础开始,包括Hadoop运行模式以及Hadoop云中的任务类型。然后会学习Hadoop分布式文件系统,如架构、二级名字节点、访问控制。本教师还会讲到MapReduce、调试、hive和pig的基础内容以及impala的基础内容。最后,作者会讲到如何导入和导出数据。 在学习了本教程中,你可以自如地使用Hadoop中的工具和功能来处理你的工作了。
    wilde(特殊组-翻译)3年前 (2014-05-02)