Data Warehouse Testing: The Next Opportunity for QA Leaders

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If your organization isn’t already recruiting traditional testers to safeguard data quality, they will probably start soon. As more organizations get serious about protecting data quality, we’ve seen data testing get added to the responsibilities of traditional testers.

To help you prepare for this new opportunity, we’ve brought together two industry leaders to share their real-world experiences driving big data testing initiatives in enterprise organizations.

Join this web seminar to hear Wayne Yaddow, an independent data warehouse testing consultant, and Raj Kanuparthi, a senior quality leader who has led big data testing initiatives across financial institutions, discuss:

  • Why data testing is now an integral part of the quality process
  • How data testing compares to “traditional” software testing
  • How leading enterprises got started with data warehouse testing
  • The top challenges and how to avoid them

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Raj Kanuparthi


Narwal Inc

Raj Kanuparthi is a senior quality leader who drove the big data testing initiative at one the world’s leading financial service companies. Raj has more than twenty years of experience in the technology space, predominantly in insurance and financial services industries. He has had a variety of senior leadership roles in software development, planning, strategy, large program delivery, and portfolio management. Raj has an MBA from the Kelley School of Business, Indiana University, and a bachelor’s degree in engineering.

Wayne Yaddow

Data Quality Analyst


Wayne Yaddow is an independent consultant with over twenty years’ experience leading data migration, integration, and ETL testing projects at organizations including J.P. Morgan Chase, Credit Suisse, Standard and Poor’s, AIG, Oppenheimer Funds, IBM, and Achieve3000. Additionally, Wayne has taught IIST (International Institute of Software Testing) courses on data warehouse, ETL, and data integration testing. He continues to lead numerous ETL testing and coaching projects on a consulting basis.



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