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In this talk we’ll explain how we implemented “update-less updates” (not a typo!) for HBase using append-only approach. This approach uses HBase core strengths like fast range scans and the recently added coprocessors to enable real-time analytics. It shines in situations where high data volume and velocity make random updates (aka Get+Put) prohibitively expensive. Apart from making real-time analytics possible, we’ll show how the append-only approach to updates makes it possible to perform rollbacks of data changes and avoid data inconsistency problems caused by tasks in MapReduce jobs that fail after only partially updating data in HBase.