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Presented by Steve Park
Moving data from one location to another…
What are we talking about?
…and transforming it into a format more suited for the target application
ETL = Extract-Transform-Load
Building a Data Warehouse
Use case for ETL
• Acts as system of record
• Standardized formats
• Addresses
• Phone numbers
• Abbreviations
• Contents agreed to by IT
and business stakeholders
What’s a data warehouse?
Why sanitize the data?
• Think of the staging area
like a kitchen in a fancy
restaurant
• Potentially dangerous place
• Many sharp knives and hot
surfaces
• Sanitizing data like plating
an entrée
Photograph by Alden Chadwick, distributed
under a CC-BY 2.0 license
Workflow Automation
More use cases for ETL
Job Scheduling
What is
JasperETL
Studio?
• Built on Eclipse IDE
• Drag and drop interface
• Metadata repository
• ETL jobs implemented in
either Java or Perl
• Produces standalone jobs
JasperETL Studio Overview
• Provide means to access
and manipulate data and
other resources
• Included in component
palette
• Drag into job area
• Link to other connectors
• Data flow
• Iteration
• Conditional
ETL Components
Demo 1
- JasperETL Studio
- Simple ETL job
What
versions are
available?
Community Express
Standard Extended Big Data
JasperETL Editions
How can my
team
collaborate?
• Web application
written in Java
• Connects to shared
repository stored in
SVN or Git
• Job
scheduler/publisher
• Connects to one or
more job agents
Jaspersoft Administrator Console
Demo 2
- JAC
- Publishing
/schedulin
g jobs
© Copyright 2000-2017 TIBCO Software Inc.
What’s Next?
Documentation
Install and User Guides
”The Data Warehouse Toolkit” by Dr. Ralph Kimball and Margy Ross
Community Wiki
Examples from Webinar
https://github.com/spark-jaspersoft/ETLJobs
Services & Support

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Back to [Jaspersoft] Basics: ETL 101

  • 2. Moving data from one location to another… What are we talking about? …and transforming it into a format more suited for the target application ETL = Extract-Transform-Load
  • 3. Building a Data Warehouse Use case for ETL • Acts as system of record • Standardized formats • Addresses • Phone numbers • Abbreviations • Contents agreed to by IT and business stakeholders What’s a data warehouse?
  • 4. Why sanitize the data? • Think of the staging area like a kitchen in a fancy restaurant • Potentially dangerous place • Many sharp knives and hot surfaces • Sanitizing data like plating an entrée Photograph by Alden Chadwick, distributed under a CC-BY 2.0 license
  • 5. Workflow Automation More use cases for ETL Job Scheduling
  • 7. • Built on Eclipse IDE • Drag and drop interface • Metadata repository • ETL jobs implemented in either Java or Perl • Produces standalone jobs JasperETL Studio Overview
  • 8. • Provide means to access and manipulate data and other resources • Included in component palette • Drag into job area • Link to other connectors • Data flow • Iteration • Conditional ETL Components
  • 9. Demo 1 - JasperETL Studio - Simple ETL job
  • 11. Community Express Standard Extended Big Data JasperETL Editions
  • 13. • Web application written in Java • Connects to shared repository stored in SVN or Git • Job scheduler/publisher • Connects to one or more job agents Jaspersoft Administrator Console
  • 14. Demo 2 - JAC - Publishing /schedulin g jobs
  • 15. © Copyright 2000-2017 TIBCO Software Inc. What’s Next? Documentation Install and User Guides ”The Data Warehouse Toolkit” by Dr. Ralph Kimball and Margy Ross Community Wiki Examples from Webinar https://github.com/spark-jaspersoft/ETLJobs Services & Support