PIG - Beginners

Introduction to Apache Pig – Hadoop Training

updated on icon Updated on Dec, 2023

language icon Language - English

person icon Corporate Bridge Consultancy Private Limited

architecture icon Business Intelligence,PIG

Lectures -18

Duration -2 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 pig using union operator and split operator. We will learn filtering data in pig using sort and limit operator 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


What will you learn in this course:

  • To understand basic Pig concepts and commands
  • To learn working with data in Pig


What are the prerequisites for this course?

  • Basic Computer Knowledge
  • Experience of coding
  • Basic knowledge of Hadoop Distributed File System (HDFS)
PIG - Beginners


Check out the detailed breakdown of what’s inside the course

Introduction to PIG
6 Lectures
  • play icon Introduction to pig 04:56 04:56
  • play icon Features of apache pig 08:08 08:08
  • play icon Pig vs hive 10:10 10:10
  • play icon Apache pig local mr modes 04:30 04:30
  • play icon Lanchuing local modes 05:59 05:59
  • play icon Data types in plg 08:58 08:58
Pig Commands
3 Lectures
6 Lectures
Pig Functions
3 Lectures

Instructor Details

Corporate Bridge Consultancy Private Limited

Corporate Bridge Consultancy Private Limited

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