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Process Big Data using Apache PIG

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Process Big Data using Apache PIG

MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours | 820 MB
Genre: eLearning | Language: English
Learn analyzing and processing big data Using Apache Pig

Pig is a high-level platform for creating MapReduce programs used with Hadoop. The language for this platform is called Pig Latin. In this course we will go through the PIG data flow platform and the language used by PIG tool. The concepts which are covered in this course are:

Writing complex MapReduce transformations using a simple scripting language.

Basics of Big Data, Hadoop and MapReduce Framework.

PIG Data Model and Different type of operators to operate on datasets.

Built-in Functions as well as User Defined Functions for performing a specific task.

Running PIG Script, Unit Testing and Compression.

Many more advance topics such as Embedding PIG in Java, PIG Macros etc.

All the books and PDFs are included, allowing you to follow along with the author throughout the modules in this course.

Process Big Data using Apache PIG

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  1. 使用Apache Pig处理大数据 Pig是一款使用Hadoop创建MapReduce程序的高级平台。用于这个平台的语言被称作Pig Latin。在本教程中,我们将处理Pig数据流平台以及Pig工作所使用的语言。 主要内容有:使用简单的脚本语言编写复杂的MapReduce变化;大数据、Hadoop和MapReduce框架基础;Pig数据模型和用于操作数据集的不同操作符类型;内建的函数以及用于执行某项特殊任务的用户定义函数;运行Pig脚本,单元测试和压缩;如在Java中嵌入式Pig以及Pig Macros等高级内容。
    wilde(特殊组-翻译)2年前 (2016-02-26)