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Hadoop Fundamentals LiveLessons 2nd Edition

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Hadoop Fundamentals LiveLessons 2nd Edition

English | .MP4 | h264, yuv420p, 1280x720, 30.00 fps(r) | aac, 44100 Hz, stereo | 2.9 GBGenre: E-learning

7+ Hours of Video Instruction. Hadoop Fundamentals LiveLessons provides users, developers, and administrators with a practical introduction to the many facets of Hadoop Versions 1 and 2. 
Hadoop Fundamentals LiveLessons provides 7+ hours of video introduction to the Apache Hadoop (Versions 1 and 2) Big Data ecosystem. The tutorial includes background information and explains the core components of Hadoop, including Hadoop Distributed File Systems (HDFS), MapReduce, the new YARN resource manager, and YARN Frameworks. In addition, it demonstrates how to use Hadoop at several levels, including the native Java interface, C++ pipes, and the universal streaming program interface. Examples include how to use benchmarks and high-level tools, including the Apache Pig scripting language, Apache Hive "SQL-like" interface, Apache Flume for streaming input, Apache Sqoop for import and export of relational data, and Apache Oozie for Hadoop workflow management. The steps for easily installing a working Hadoop system on a desktop/laptop, in a Cloud environment, and on a local stand-alone cluster are presented. Installation and administration examples using the powerful Ambari GUI are also included. All software used in these LiveLessons is open source and freely available for your use and experimentation. Finally, the important differences between Hadoop Version 1 MapReduce and the new Hadoop Version 2 MapReduce Framework are highlighted.
Skill Level
Beginner
Intermediate
What You Will Learn
Hadoop design and components
How the MapReduce process works in Hadoop
The differences between and advantages of Hadoop Versions 1 and 2
Key aspects of the new YARN design and Frameworks
How to use, administer, and program HDFS
How to run and administer Hadoop programs
How to write basic MapReduce programs
How to install Hadoop on a laptop/desktop, on a cluster, or in the Cloud
How to run Apache Pig, Hive, Flume, Sqoop, and Oozie applications
How to install and administer Hadoop with the Apache Ambari GUI tool

Hadoop Fundamentals LiveLessons 2nd Edition


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  1. 这套七个多小时的Hadoop教程,为用户、开发者和管理员带来了对Hadoop多个方面的实用讲解,以及对大数据生态系统的介绍。教程包含了背景信息和对Hadoop核心组件的讲解,包含了Hadoop分布式文件系统,MapReduce、新的YARN资源管理器以及YARN框架。另外,教程还会讲解如何在不同层级使用Hadoop,包括原生的Java接口,C++管道以及通用的流程序界面。演示例子包括如何使用仪表盘和关机工具,如Apache Pig脚本语言,Apache Hive类SQL的界面,Apache Flume流式输入,Apache Sqoop用于导入和输出关系型数据,以及Apache Oozie用于Hadoop工作流管理。在桌面和笔记本,或云环境,或本地独立的集群方式安装可用的Hadoop系统也将会被演示。使用强大的Ambari GUI界面安装和管理演示例子也会被讲到。所有用到的软件都是开源和免费使用的。
    wilde(特殊组-翻译)2年前 (2014-12-20)