This document discusses using HBase to store and query multi-dimensional data cubes. It describes how data cubes can be modeled in HBase by storing projections instead of distinct dimensions, and pre-computing all aggregations. An example row key and column family structure is given to store pageview counts by country, user agent, domain, and time. The document also introduces Zohmg, a distributed, multi-dimensional, time-series data store built on HBase that can be configured and mapped using YAML and Python scripts.