Data Factory with Pig

Overview/Description
Target Audience
Prerequisites
Expected Duration
Lesson Objectives
Course Number
Expertise Level

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Overview/Description
Hadoop is an open source software for affordable supercomputing. It provides the distributed file system and the parallel processing required to run a massive computing cluster. This course explains Pig as a data flow scripting tool for interfacing with Hadoop. You'll learn about the installation and configuration of Pig and explore a demonstration of Pig in action. This learning path can be used as part of the preparation for the Cloudera Certified Administrator for Apache Hadoop (CCA-500) exam.

Target Audience
Technical personnel with a background in Linux, SQL, and programming who intend to join a Hadoop Engineering team in roles such as Hadoop developer, data architect, or data engineer or roles related to technical project management, cluster operations, or data analysis

Prerequisites
None

Expected Duration (hours)
1.9

Lesson Objectives

Data Factory with Pig

start the course

describe Pig and its strengths

recall the minimal edits needed to be made to the configuration file

install and configure Pig

recall the complex data types used by Pig

recall some of the relational operators used by Pig

use the Grunt shell with Pig Latin

set parameters from both a text file and with the command line

write a Pig script

use a Pig script to filter data

use the FOREACH operator with a Pig script

set parameters and arguments in a Pig script

write a Pig script to count data

perform data joins using a Pig script

group data using a Pig script

cogroup data with a Pig script

flatten data using a pig script

recall the languages that can be used to write user defined functions

create a user defined function for Pig

recall the different types of error categories

use explain in a Pig script

install Pig, use Pig operators and Pig Latin, and retrieve and group records

Course Number:
df_ahec_a08_it_enus

Expertise Level
Intermediate