Apache Pig: Analyze, Transform & Optimize Data

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Apache Pig: Analyze, Transform & Optimize Data

This course is part of Hadoop & Big Data Foundations Mastery Course Specialization

Instructor: EDUCBA

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3 modules

Gain insight into a topic and learn the fundamentals.

7 hours to complete

Flexible schedule

Learn at your own pace

3 modules

Gain insight into a topic and learn the fundamentals.

7 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

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.

Skills you'll gain

Details to know

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This course is part of the Hadoop & Big Data Foundations Mastery Course Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

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Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
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There are 3 modules in this course

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.

This comprehensive program takes learners from beginner to advanced concepts in a structured way. Starting with the foundations of Pig and its role in the Hadoop ecosystem, learners will explore execution modes, data types, and essential commands for managing and displaying data. The course then progresses into mastering Pig operators, including GROUP, JOIN, UNION, SPLIT, and FILTER, while demonstrating the use of built-in functions to prepare data for analytics. Finally, learners gain hands-on experience with Pig scripting, debugging, execution plans, and extending Pig’s capabilities using user-defined functions and community-contributed libraries. Unlike traditional MapReduce coding, Pig offers a simplified scripting environment that reduces development time and complexity. This course is unique because it blends practical scripting exercises with real-world data transformation scenarios, equipping learners with the skills to efficiently process large-scale datasets. By the end, learners will confidently apply Apache Pig to streamline ETL workflows and enhance big data analytics.

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.

What's included

8 videos4 assignments

8 videosTotal 57 minutes

Introduction to Pig4 minutes
Features of Apache Pig8 minutes
Pig Vs Hive10 minutes
Apache Pig Local and MR Modes4 minutes
Launching Local Modes5 minutes
Data Types in Pig8 minutes
Pig Commands - Store and Load8 minutes
Load Command6 minutes

4 assignmentsTotal 60 minutes

Foundations of Apache Pig30 minutes
Getting to Know Pig10 minutes
Execution Modes and Data Types10 minutes
Essential Commands in Pig10 minutes

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.

What's included

10 videos4 assignments

10 videosTotal 71 minutes

Pig Commands - Group6 minutes
CoGroup Operator6 minutes
Join and Cross operators in Pig7 minutes
Join and Cross operators in Pig Continues7 minutes
Union and Split Operators in Pig5 minutes
More on Split Operators7 minutes
Filter Distinct and For each10 minutes
Pig Functions4 minutes
Pig Functions Continues8 minutes
Input Data Size7 minutes

4 assignmentsTotal 60 minutes

Mastering Pig Operators and Functions30 minutes
Working with Groups and Joins10 minutes
Combining and Splitting Data10 minutes
Filtering, Functions, and Input Handling10 minutes

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.

What's included

12 videos4 assignments

12 videosTotal 104 minutes

Getting Started with PIG4 minutes
Installation Process10 minutes
PIG Latin7 minutes
Uploading the File in HDFS10 minutes
PIG Script10 minutes
PIG Latin Basics7 minutes
Up and Running with Pig8 minutes
Loading and Storage7 minutes
Loading and Storage Continue8 minutes
Debugging10 minutes
Grunt Shell8 minutes
UDFs and Piggy Bank10 minutes

4 assignmentsTotal 60 minutes

Advanced Pig Programming30 minutes
Setting Up and Writing Scripts10 minutes
Running and Debugging Pig Programs10 minutes
Extending Pig with Tools and UDFs10 minutes

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Instructor

EDUCBA

544 Courses140,786 learners

Offered by

EDUCBA

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