Seven Steps to Implement DataOps
DataOps for Data Analytics
The speed and flexibility achieved by Agile and DevOps, and the quality control attained by statistical process control (SPC), can be applied to data analytics. Leading edge proponents of this approach are calling it DataOps. DataOps, simply stated, is Agile development and DevOps with statistical process control, for data analytics. DataOps applies Agile methods, DevOps, and manufacturing quality principles, methodologies and tools, to the data-analytics pipeline. The result is a rapid-response, flexible and robust data-analytics capability, which is able to keep up with the creativity of internal stakeholders and users.