Pre-Con Ed: Better Big Data Analytics with CA Workload Automation for Hadoop

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The document discusses how CA Workload Automation Advanced Integration for Hadoop can be used to integrate Hadoop with traditional workload automation jobs. It provides instructions on installing and configuring the software, describes the types of Hadoop jobs that can be automated including HDFS, Hive, Pig and Sqoop, and provides examples of defining HDFS, Sqoop, Pig and other Hadoop jobs that can then be integrated into workload automation workflows and schedules. The integration allows big data analytics workflows running on Hadoop to be managed alongside other workload automation jobs.

Technology

Better Big Data Analytics with CA
Workload Automation for Hadoop
Simon Pearson
CA Technologies
Senior Engineering Services Architect
Session#: MFX31E
@peasi02
#CAWORLD
Workload Automation – Off The Floor Sessions

2 © 2016 CA. ALL RIGHTS RESERVED.@CAWORLD #CAWORLD
© 2016 CA. All rights reserved. All trademarks referenced herein belong to their respective companies.
The content provided in this CA World 2016 presentation is intended for informational purposes only and does not form any type of
warranty. The information provided by a CA partner and/or CA customer has not been reviewed for accuracy by CA.
For Informational Purposes Only
Terms of this Presentation

3 © 2016 CA. ALL RIGHTS RESERVED.@CAWORLD #CAWORLD
Abstract
Big Data. Big Deal.
The need to mine massive sets of information for unique insights into customer behaviours,
competitive plays and market fluctuations has transformed big data initiatives into imperative,
business-critical priorities.
The open-source Apache™ Hadoop® platform has rapidly emerged as the dominant means by
which businesses process, analyse and extract insights from their growing sets of data.
While Hadoop does include a basic scheduler that delivers some automation, it is focused
primarily on jobs that run on Hadoop clusters, and doesn’t integrate well with other workload
automation engines.
CA Workload Automation Advanced Integration for Hadoop makes it possible to integrate
Hadoop with traditional jobs.
Simon
Pearson
CA Technologies
Senior Engineering
Services Architect

4 © 2016 CA. ALL RIGHTS RESERVED.@CAWORLD #CAWORLD
Agenda
INSTALLATION
CONFIGURATION
SUPPORTED HADOOP JOB TYPES
EXAMPLES – DEFINING HADOOP JOBS
AND FINALLY……
1
2
3
4
5

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Installation
Download CA WA AI for Hadoop from support.ca.com

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Installation
Check that you have a supported Hadoop distribution

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Installation
Supporting these CA Workload Engines
For more information about using Advanced Integration for Hadoop, refer to
the documentation for your scheduling engine:
•CA Workload Automation AE and Workload Control Center
•CA Workload Automation DE
•CA Workload Automation ESP

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Installation
Have the correct version of the system agent installed

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Installation
Or else this will happen

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Installation
Mount the ISO and run the installer

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Installation
The Hadoop AI installer runs………

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Configuration
Create agent definition for the Hadoop plugin

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Supported Hadoop Job Types
• HDFS - File System actions
• Hive - Script execution
• Pig - Script execution
• Sqoop – Database Import/Export operations
• Oozie – Execute Oozie Workflows

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Defining Hadoop Jobs - HDFS
Operations supported – Create Dir, Create File, Delete File, Delete Dir

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Defining Hadoop Jobs - HDFS
Example – Make Directory
The four HDSF operations
Supported can be selected from
the drop down list

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Defining Hadoop Jobs - HDFS
View the results via the job log

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Defining Hadoop Jobs - Sqoop
Operations supported:

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Defining Hadoop Jobs - Sqoop
Simple example

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Defining Hadoop Jobs - Sqoop
Spool File

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Defining Hadoop Jobs - Pig
Job Definition

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Defining Hadoop Jobs - Pig
Script to execute and sample data

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Defining Hadoop Jobs - Pig
Spool File

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Integrating Hadoop with External Workflows

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And Finally…..
What if you are running CA WA AE?

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And Finally…..
The same Hadoop job types are available in the Quick Editor

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And Finally…..
Hadoop job types also available in Application Editor

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Questions?

Sr. Engineering Services Architect
Simon Pearson@ca.com
Simon Pearson
@cainc
Slideshare.net/CAinc
Linkedin.com/company/ca-technologies
CA.com

34 © 2016 CA. ALL RIGHTS RESERVED.@CAWORLD #CAWORLD
Thank you
Stay connected at communities.ca.com

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