This document discusses how Bloomberg uses HBase to serve billions of queries with millisecond latency. It covers HBase principles like being an ordered key-value store and providing ACID transactions. It also discusses modeling data for HBase, including dealing with data and query skew. Implementation details covered include caching, block size tuning, column families, and compaction. The overall goal is to optimize HBase for Bloomberg's low-latency data storage and retrieval needs.