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At Databricks Data + AI Summit

Data Quality

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This intermediate-level training reviews the concepts and importance of data quality. You will learn how to assess quality requirements for various kinds of data, and then act on data quality reports. Finally, you will learn how to operate Stardog to ensure quality of integrated data.

Meet the trainer
Jaroslav Pullmann

Solutions Architect

What you’ll learn
  • What data quality is and why it matters
  • Quality requirements for various kinds of data
  • Appropriate means to assess quality of data
  • Evaluating, communicating, and acting upon data quality reports
  • Operating Stardog to ensure quality of integrated data
Resources
Meet the trainer:
Jaroslav Pullmann

Solutions Architect

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