# Data Engineering
All Data Engineering notes →1 — Building a Data Platform
The architectural decisions behind building a data platform — core platform components, data mesh vs. data fabric, and centralized vs. federated ownership models.
data-engineering platform-architecture book
2 — Storage Architecture
Tiered storage architecture — hot, warm, and cold tiers — and the lifecycle policies that move data between them automatically.
data-engineering platform-architecture book
3 — Compute Architecture
Compute architecture for data platforms — running workloads on Kubernetes, autoscaling, serverless compute, and the cost management trade-offs between them.
data-engineering platform-architecture book