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Apache Spark At Apple

Apache Spark At Apple

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At Apple we rely on processing large datasets to power key components of Apple’s largest production services. Spark is continuing to replace and augment traditional MR workloads with its speed and low barrier to entry. Our current analytics infrastructure consists of over an exabyte of storage and close to a million cores. Our footprint is also growing further with the addition of new elastic services for streaming, adhoc and interactive analytics. In this talk we will cover the challenges of working at scale with tricks and lessons learned managing large multi-tenant clusters. We will also discuss designing and building a self-service elastic analytics platform on Mesos.
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