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DESCRIPTION:Click for Latest Location Information: http://edw2017.dataversity.net/sessionPop.cfm?confid=103&proposalid=9684\nWhat are the essential components of a data platform? This tutorial will explain how the various parts of the Hadoop, Spark, and big data ecosystem fit together in production to create a data platform supporting batch, interactive, and real-time analytical workloads.\nBy tracing the flow of data from source to output, we’ll explore the options and considerations for components, including:\n\nAcquisition: from internal and external data sources\nIngestion: offline and real-time processing\nStorage\nAnalytics: batch and interactive\nProviding data services: exposing data to applications\nWe’ll also give advice on:\n\nTool selection\nThe function of the major Hadoop components and other big data technologies such as Spark and Kafka\nIntegration with legacy systems
DTSTART:20170403T083000
SUMMARY:AM6: Architecting a Big Data Platform
DTEND:20170403T114459
LOCATION: See Description
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