Engineering processes work best when they are abstract-based.
While fast dev workflows in abstract environments are fantastic, applying them to data proves challenging. Synthesizing realistic test data and building flexible virtual environments for it remains a complex hurdle.
The very heart of the issue lies in bridging the gap between abstraction and the nuances of real-world data.
Catch the entire episode of Nick Schrock on the Data Stack Podcast: https://dagster.io/blog/podcast-datas...
#DevOps #DataChallenges #EngineeringAbstraction #TestEnvironments #SyntheticData #WorkflowOptimization #BuildingForTheFuture