Webinar a demanda

Web Content Analytics at Scale with Parse.ly

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Presentado por

Andrew Montalenti

Visión general

Using Elasticsearch, Parse.ly wrote a time series backend for its real-time content analytics product. This talk will cover time-based indices, hot/warm/cold tiers, doc values, index aliases/versioning, and other techniques to run a multi-terabyte Elasticsearch cluster to perform time series at scale.