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
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