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Explore the journey of Zappi's data history and learn how Ruby, graph databases, and bitmap stores are utilized to build a unique data engine. Discover the evolution from disconnected data sets and serialized data frames to an efficient in-memory index solution. Delve into the use of RedisGraph for modeling data relationships and connecting semantically equal nodes. Examine the implementation of a query layer for indexing a bitmap store, resulting in significantly faster dataset interrogation. Gain insights into cross-market analysis, harmonization, and the architecture behind this innovative approach to data indexing.