DataOps is a necessary practice for delivering continuous data analytics. While many equate DataOps as “DevOps for data”, smart data pipelines are the foundation needed to enable a people, processes, and technology framework for DataOps.
Current data observability approaches promise data health by applying algorithms on black box pipelines as an afterthought. True global data observability is only achieved with instrumented data pipelines that provide a system level view of data health and harness data drift to ensure reliable analytics delivery.
- Sean Anderson | Head Of Product Marketing | Streamsets