Don't treat Fabric data ingestion as a one-size-fits-all problem

The persistent myth in modern data architecture is that there is a "gold standard" for ingesting data into a lakehouse. You will often hear that one method—usually the one with the lowest latency—is inherently superior to the others. In reality, choosing between OneLake shortcuts, mirroring, and copy jobs is not a quest for the "best" tool, but an exercise in managing technical trade-offs between governance, compute overhead, and data freshness. The contenders When building a data pl