A Practical Guide to DataOps

A pragmatic approach to starting a DataOps implementation wherever you are in your data journey.

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Key Highlights

Regardless of where you are in your data journey, learn how you can implement DataOps to conquer your objectives:

  • Achieve high data quality with continuous error detection
  • Build transparency by monitoring and measuring results
  • Streamline data ingestion through process automation
  • Improve collaboration between delivery and business teams
  • Deliver with shorter release cycles