Data engineering on a lakehouse used to mean a lot of moving parts. A notebook for each transformation layer. A Data Factory pipeline to run them in the right order. Custom validation logic across scripts. Schedules to maintain and a Monitor Hub to watch when things break. Five different surfaces and five different things to […]
