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BT6
Session 
6/6/2013 2:15 PM 
 
 
 
 
 
 
 

"Trends in Big Data Testing"
 
 
 

Presented by:
Stefano Rizzo
Polarion Software
 
 
 
 
 
 
 
 
 
 
 

Brought to you by: 
 

 
 
340 Corporate Way, Suite 300, Orange Park, FL 32073 
888‐268‐8770 ∙ 904‐278‐0524 ∙ sqeinfo@sqe.com ∙ www.sqe.com
Stefano Rizzo
Polarion Software
In a career spanning some twenty years, Stefano Rizzo has been a methodology
consultant, a pre-sales engineer, an IT researcher, a university professor, VP of R&D
for a large consortium, Regional Sales Director for a software company, and CEO of
two software development organizations. With his broad experience in the Application
Lifecycle Management arena, he has been leading Product Management for Polarion
Software’s product lines from its first release in 2005 until 2010. In his current SVP
Strategy & Business Development role, in addition to defining corporate vision, he leads
several research projects in the ALM and PLM fields.
 
Trends in Big Data Testing
The Big Data has three unique characteristics—Volume, Velocity, and Variety. Today’s
big data applications are growing dramatically. We must process data ever more quickly
so we can respond to events as they happen, and that data is arriving from an ever
wider array of channels, sensors, and formats. Stefano Rizzo explains that the main
challenges of testing big data by little agile teams, beside the apparent contradiction,
are related to testing individual components vs. testing the big product, traceability, and
organizing massive amounts of test data vs. minimal testing with spreadsheets, and
testing the final products of development vs. test-driven development. After reviewing
these challenges, Stefano shares practices and tools to address both testing Big Data
and managing the Testing of Big Data—the huge amount of data coming from massive
and continuous testing practices.
 
 

Slides were not ready at time of online proceedings 
production. Please check back after the conference. 

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Trends in Big Data Testing

  • 1.     BT6 Session  6/6/2013 2:15 PM                "Trends in Big Data Testing"       Presented by: Stefano Rizzo Polarion Software                       Brought to you by:        340 Corporate Way, Suite 300, Orange Park, FL 32073  888‐268‐8770 ∙ 904‐278‐0524 ∙ sqeinfo@sqe.com ∙ www.sqe.com
  • 2. Stefano Rizzo Polarion Software In a career spanning some twenty years, Stefano Rizzo has been a methodology consultant, a pre-sales engineer, an IT researcher, a university professor, VP of R&D for a large consortium, Regional Sales Director for a software company, and CEO of two software development organizations. With his broad experience in the Application Lifecycle Management arena, he has been leading Product Management for Polarion Software’s product lines from its first release in 2005 until 2010. In his current SVP Strategy & Business Development role, in addition to defining corporate vision, he leads several research projects in the ALM and PLM fields.  
  • 3. Trends in Big Data Testing The Big Data has three unique characteristics—Volume, Velocity, and Variety. Today’s big data applications are growing dramatically. We must process data ever more quickly so we can respond to events as they happen, and that data is arriving from an ever wider array of channels, sensors, and formats. Stefano Rizzo explains that the main challenges of testing big data by little agile teams, beside the apparent contradiction, are related to testing individual components vs. testing the big product, traceability, and organizing massive amounts of test data vs. minimal testing with spreadsheets, and testing the final products of development vs. test-driven development. After reviewing these challenges, Stefano shares practices and tools to address both testing Big Data and managing the Testing of Big Data—the huge amount of data coming from massive and continuous testing practices.     Slides were not ready at time of online proceedings  production. Please check back after the conference.