HBase brings interactivity to Hadoop, and allows users to collect, manage and process data in real-time. Lily wraps HBase and Solr in a comprehensive Big Data platform, with HBase-native secondary indexing complementing ad-hoc structured search. Through spare write-cycles during read operations, Lily transforms HBase in an scalable data management engine providing interactive analytics, profile harvesting and real-time recommendations. This talk highlights the architecture of Lily, how it completes HBase, and explains some of its implementation use cases.
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