← This weekAnalysisData engineering & the warehouse/lakehouseFivetranFivetran's latest approach involves normalizing data within their own VPC, aiming to reduce the consumption of data warehouse credits, enhance data stack efficiency, and ultimately lower costs for users.
MyDataWork POV — Fivetran's decision to handle data normalization within their VPC is a savvy move that cuts through the noise of bloated compute costs. By centralizing this process, they're redefining what efficiency means in the data stack. It's a pragmatic shift that prioritizes cost savings without sacrificing performance. Yet, the real intrigue lies in how this might recalibrate the balance of power between data engineers and their cloud providers.
Discussion happens on Reddit — no comments are hosted here.