DataOps acknowledges the interconnected nature of data engineering, data integration, data quality and data security/privacy — and aims to help an organization rapidly deliver data that accelerates analytics and enables previously impossible analytics.
In this free 4 page complimentary guide we:
– Define the stages of Data Ops
– Show how it increases analytic velocity
– Suggest practical starting point projects
– Outline short and long term ROI of Data Ops