At a Glance

Name: Apache Pig 101
Price: Free CAD
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Pig was initially developed at Yahoo! to allow people using Hadoop® to focus more on analyzing large data sets and spend less time having to write mapper and reducer programs. Like actual pigs, who eat almost anything, the Pig programming language is designed to handle any kind of data—hence the name!

About This Course

Pig is made up of two components: the first is the language itself, which is called PigLatin, and the second is a runtime environment where PigLatin programs are executed.

This course begins with an overview of Pig. It explains the data structures supported by Pig and how to access data using the LOAD operator. The next lesson covers the Pig relational operators. This is followed by the Pig evaluation functions, as well as math and string functions.

What will I get after passing this course?

You will receive a completion certificate.

You will receive the IBM Explorer - Big Data Programmingbadge (upon completion of all badge criteria).

COURSE SYLLABUS

Lesson 1 - Pig Basics

List the ways to invoke Pig
Describe the data structures used in Pig
Explain how to use the LOAD operator to read data
Describe how to substitute parameters in a Pig script
Explain how to use the OUTPUT operator to write data

Lesson 2 - Pig Relational Operators

List the relational operators used in Pig
Explain how to flatten your data
Describe dereference operators

Lesson 3 - Pig Evaluation Functions and Other Commands

List the eval functions used in Pig
Describe how to invoke HDFS shell commands from a Pig script or the Grunt shell
Explain how to execute a Pig script from the Grunt shell
Describe the use of the Explain operator

GENERAL INFORMATION

This course is free.
It is self-paced.
It can be taken at any time.
It can be taken as many times as you wish.

Big Data University has been chosen by IBM as one of the issuers of badges as part of the IBM Open Badge program. Share your achievements through LinkedIn, Facebook, Twitter, and more!

Big Data University leverages the services of Pearson VUE Acclaim to assist in the administration of the IBM Open Badge program. By enrolling into this course, you agree to Big Data University sharing your details with Pearson VUE Acclaim for the strict use of issuing your badge upon completion of the badge criteria.

REQUIREMENTS

Have taken the Hadoop Foundations course on Big Data University

RECOMMENDED SKILLS PRIOR TO TAKING THIS COURSE

Basic Linux Operating System knowledge
Basic programming skills

Course Staff

Warren Pettit

Warren Pettit has been with IBM for over 30 years. For the last 16 years, he has worked in Information Management education where he has been both an instructor and a course developer in the Data Warehouse and Big Data curriculums. For the nine years prior to his joining IBM, he was an application programmer and was responsible for developing a training program for newly hired programmers.

GRADING SCHEME

The minimum passing mark for the course is 60%, where the review questions are worth 40% and the final exam is worth 60% of the course mark.

You have 1 attempt to take the exam with multiple attempts per question.

Frequently Asked Questions

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See our list of supported browsers for the most up-to-date information.

Offered By: IBM

Apache Pig 101