Best Practices in DataOps
As data pipelines become more complex and development teams grow, organizations need to apply standard processes to govern the flow of data from source to consumption.
The goal of improving agility and cycle times while reducing data defects, to give business users greater confidence in data and analytic output, is the vision of DataOps.
In this special report, sponsored by Unravel, you’ll learn:
- What is DataOps along with use case examples
- How to determine if DataOps is right for your team and best practices
- 10 recommended steps to DataOps success