Apache PIG Advanced Course
Introduction to Apache Pig – Hadoop Training
Updated on Jun, 2025
Language - English
Development ,Data Science,Big Data
Lectures -12
Duration -1.5 hours
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Course Description
Pig is a very modest data flow language used in the analysis of huge data sets. Pig is capable in executing its Hadoop jobs in MapReduce, Apache Tez, or Apache Spark.
This course is basically intended for users who are interested to learn about Apache Pig and how to work on the data sets with ease in particular. The training will enable you to learn about Pig concepts. You shall be learning about Pig commands such as load and store data, group data, and join data. We will look into combining and splitting data in the pig using the union operator and split operator. We will learn filtering data in pigs using the sort and limit operators and finally, concentrate on pig internal and custom functions.
Course Objective:
- To understand basic Pig concepts and commands
- To learn working with data in Pig
Target Customers:
- Students
- Professionals
- Data analysts/developers
- Anyone who wants to learn about Pig
Prerequisites
- Basic Computer Knowledge
- Experience of coding
- Basic knowledge of Hadoop Distributed File System (HDFS)
Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction to PIG
1 Lectures
-
Getting Started with PIG
04:58
04:58
Understanding Installation
2 Lectures
Practical Examples
9 Lectures
Instructor Details
Corporate Bridge Consultancy Private Limited
Corporate Bridge Consultancy Private Limited - EDUCBA is an initiative by IIT IIM Graduates, We are one of the leading providers of skill-based education addressing the needs of 1,000,000+ members across 70+ Countries. With more the 15+ years of experience in Training and Development, our expertise lies in Self-paced learning, Digital Learning content, Corporate Training, Content Development and Consultancy.
Our Vision:
To be a leading and progressive partner with our clients in their journey of progress.
"We are passionate about our work. We believe in empowering and improving our members’ lives with skill-based, hands-on training programs."
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