C 2012: Columns Enough and Time

Time series data is abundant. Machine logs, process sensors, user chats, short broadcast messages and news stories all share that important dimension-time. In this webcast, the presenter explains how their work at Accenture Technology Labs demonstrates that Cassandra effectively supports the time series storage, processing and analytical workloads and discuss how it compares to alternate approaches from a scaling, cost and use-case perspective.

Provided by: Oleksiy Kovyrin Topic: Storage Date Added: Aug 2012 Format: Webcast

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