S1 - 52 | Why the modern data stack is broken and how to fix it with Lauren Balik
This is a big-picture conversation that drills into some of the worse anti-patterns in the Modern Data Stack movement. How do we deliver data at scale without breaking the bank?
Today we think about “incrementalism” and why the technological landscape has never been more fragmented. We’ll talk about why data consumers are also data producers, the balance between normalization and de-normalization, why what we do in DBT is not metadata driven and therefore why it doesn’t scale, why we need to measure the value add of everything we do, and much more.
Lauren is an open heart surgeon of the Modern Data Stack and is an expert in building performant data functions that just plain work. She runs Upright Analytics, a boutique advisory and technical implementation firm for everyone, from Fortune 500 to startups.
You can follow Lauren onLinkedIn.
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