Think DevOps (or DevSecOps) for Data. DataOps is the combination of people, process, and products that enable consistent, automated, and secure management of data. Its goal is to improve enterprise IT delivery outcomes by bringing together those that consume the data with those that provision the data.
Or more simple perhaps: DevOps involving the Data Guys.
Like DataOps you should be looking to incorporate and streamline activities like:
- Data Planning
- Code /Creation (Schema, Meta-Data, Code/SQL)
- Build / Package
- Verify Readiness (Inc Security & Compliance)
- Release / Integrate
- Deploy (Load / Provision)
- Operate
- Monitor
Or as Gartner describe it:
…a collaborative data management practice focused on improving the communication, integration and automation of data flows between data managers and consumers across an organization. The goal of DataOps is to create predictable delivery and change management of data, data models and related artifacts. DataOps uses technology to automate data delivery with the appropriate levels of security, quality and metadata to improve the use and value of data in a dynamic environment.