By completing this course, learners will be able to explain the fundamentals of Apache Pig, apply Pig Latin scripts for big data processing, analyze and transform datasets using operators and functions, and design advanced workflows with UDFs and Piggy Bank.
Apache Pig: Analyze, Transform & Optimize Data
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您将学到什么
Write and execute Pig Latin scripts for data processing.
Use operators and functions to transform large datasets.
Develop advanced workflows with UDFs and Piggy Bank.
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最近已更新！
November 2025
作业
12 项作业
授课语言：英语（English）
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积累特定领域的专业知识
本课程是 Hadoop & Big Data Foundations Mastery Course 专项课程 专项课程的一部分
在注册此课程时，您还会同时注册此专项课程。
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该课程共有3个模块
This module introduces learners to the fundamentals of Apache Pig. It covers its role in the Hadoop ecosystem, explores execution modes, explains essential data types, and demonstrates core commands for data storage, loading, and visualization. By the end of this module, learners will understand the basic building blocks needed to work effectively with Pig.
涵盖的内容
8个视频4个作业
This module focuses on data transformation and manipulation in Pig. Learners will explore grouping, joining, and combining datasets; practice filtering, splitting, and deduplication; and apply built-in Pig functions to handle real-world data challenges. Emphasis is placed on using operators to transform and prepare data efficiently.
涵盖的内容
10个视频4个作业
This module advances learners’ skills in Pig programming by focusing on scripting, debugging, and extending Pig’s functionality. It introduces Pig Latin scripting, HDFS integration, execution plans, and Grunt Shell interaction. Learners will also explore UDFs and Piggy Bank to enhance Pig’s capabilities for enterprise-level data workflows.
涵盖的内容
12个视频4个作业
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