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C* 2012: Columns Enough and Time (John Akred, Accenture)

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Published on Aug 20, 2012

Session: Columns Enough and Time -- Using Cassandra for a Time Series Analytical Repository
Speaker: John Akred
Description: Time series data is abundant. Machine logs, process sensors, user chats, short broadcast messages and news stories all share that important dimension -- time. Existing solutions for storing and managing time series data include data historians, file-based approaches and use of relational systems, but none of these posses the desired scaling, access pattern and use case support, and cost properties that would truly unlock the potential of these vast data streams. Many of the opportunities in that data must be enabled by analytics that are not effectively enabled on current platforms. We show how our 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.

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