Developer shows Parquet cube + range requests can replace a database for dashboards
A blogger built a customer analytics drilldown dashboard using only a 40MB pre-aggregated Parquet 'data cube' stored in R2, an 18KB browser-based Hyparquet reader, and HTTP range requests, avoiding any database or query engine. The demo rolled up NYC's 34-million-row 311 service request dataset into a compact cube that supports fast filtering by reading only small slices of the file at a time.