Unfortunately, firms that embrace DevOps are only as good as the quality of the data they produce. And speed to deploy functionality even as the quantity of data explodes, structured/unstructured data, cloud/on-prem architectures, collecting, aggregating, wrangling and anonymising data to become data-driven, comes at the expense of data operations and management (DataOps). Maintaining data quality, data integrity, is a huge challenge against big data volume, velocity and variety; requiring excessive coordination. But unfortunate for data, not much is documented.
If additional Data Ops rigor was given to existing practices with a complement of Metadata, Data Lineage, Data Quality and Data Governance programs, processes, tools and resources. then more firms could be successful with DevOps principles. Orion Governance EIIG supplements Information Insights and Analytics by bringing a centralized automated, AI/ML supported, real-time comprehensive view of all data assets in the data supply chain with Zero Impact to Production (ZIP), upon which actions and decisions can be made.