Data platform architecture 2025: Scalable & collaborative

This post outlines the key layers of a modern data platform: ingestion and storage, processing and transformation (emphasizing ELT and separation of transformation from metric logic), and analytics and consumption. It discusses data warehouse, data lake, and data lakehouse approaches, as well as data mesh and data fabric architectures. It also details considerations for batch vs. streaming ingestion, storage technologies (cloud data warehouses, object storage, columnar formats), and cloud vs. hybrid deployments.