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Managing the evolution of data within HBase over time is not easy: Data resulting from Hadoop processing pipelines or otherwise placed in HBase is subject to the same kinds of oversights, bugs, and faulty assumptions inherent to the software that creates it. While the development of this software is often effectively managed through revision control systems, data itself is rarely modeled in a way that affords the same flexibility. In this session, we'll talk about how to build a versioned, time-series data store using HBase that can provide significantly greater adaptability and performance than similar systems.