Operationalizing Data Orchestration: Best Practices for DevOps, Infra, and Code Locations

Operating the data orchestration layer can be as critical as the source OLTP databases, when decisions are taken from the data assets produced by downstream data pipelines. When orchestration gets at the heart of triggering and observing most of the schedules or assets, there is even more importance involved. In Part 1 I argued that the open data platform makes orchestration data and its flow simpler, providing integration into data assets and transformation, ETL, BI and even Kubernetes all…