DataOps techniques can address these challenges through a more agile, collaborative and change-friendly approach to building and managing data pipelines.
Read this report by Ted Friedman and Nick Heudecker at Gartner to get a better understanding of what DataOps is and why you need it to improve your data management discipline.
Specifically the report covers how data and engineering teams can:
- Apply agile (DevOps) techniques to your data and analytics work
- Enable collaboration across key roles involved in delivery of data pipelines
- Start with a focus on requirements definition, development and tracking value
- Apply DataOps techniques to struggling or failing projects and pipelines