Learn common patterns for testing data, and the anti-patterns that trip developers up.

Data is a critical asset for many companies, but often it's not treated that way. During this session, we'll discuss common patterns for testing, validating, and monitoring your data to ensure that it is accurate and complete. This will include patterns for

  • data warehousing
  • data integration
  • data migration

We will also discuss the common pitfalls that organizations encounter when they start treating their data as an asset, including:

  • treating data testing like application testing
  • testing the wrong things
  • not supporting your data testing initiatives for the long term

Attend this session, and you will gain valuable information on ensuring your data is a real asset to your organization.

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