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Big Data in Real Time

Jay Kreps is a Principal Engineer at Linkedin. He was the original author of Voldemort, a distributed key-value storage system recently recognized by the OSCON Data Innovation Award as one of LinkedIn's major contribution to the open source community to support data analytics. Jay has also made key contributions to Kafka, a persistent distributed message queue, and Azkaban, a simple batch scheduler for constructing and running Hadoop jobs or other offline processes. His team builds the core, data-driven features that delight LinkedIn's users, including People You May Know, Who's Viewed My Profile, Skill Pages, and the collaborative filtering applications for LinkedIn's various recommendations. Jay has a BS and MS in computer science from the University of California, Santa Cruz.