Fast Online Access to Massive Offline Data at LinkedIn (Felix GV, SECR-2016) — различия между версиями

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Voldemort is an open-source distributed key value store capable of bulk loading large data sets from Hadoop. At LinkedIn, the Voldemort clusters ingest more than 100 terabytes of fresh data every day, while serving requests at sub-millisecond latency. This talk explains the Voldemort architecture, what recent improvements were contributed, and how to get started.

The intended audience is software developers interested in leveraging Voldemort in their own stack, and infrastructure developers interested in distributed systems architecture.
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[[File:Fast Online Access to Massive Offline Data at LinkedIn (Felix GV, SECR-2016).pdf|left|page=-|300px]]

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* {{ConferencePage|http://2016.secr.ru/lang/en/program/submitted-presentations/fast-online-access-to-massive-offline-data-at-linkedin}}
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[[Категория:SECR-2016]]