TLDR Tech / Data
Beyond the Warehouse: Why BigQuery Alone Won't Solve Your Data Problems
Data warehouses like BigQuery work well initially but eventually hit architectural breaking points with issues like high latency, escalating costs from scaling compute, data disorganization, and teams bypassing the warehouse, such as ML groups building custom pipelines. Instead, adopting a conceptual three-layer data lifecycle (Raw, Curated, Use Case) can better control lineage, reduce duplication, and enable flexibility for diverse needs.
Read the full story