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DESCRIPTION:Click for Latest Location Information: http://nosql2013.dataversity.net/sessionPop.cfm?confid=74&proposalid=5489\nThis tutorial will cover both the technical and the practical aspects of developing NoSQL applications.  Get started in this space with 'in-the-trenches' knowhow gained by developing Big-Data analyses for Stanford University Hospitals, monitoring tools for Medic Mobile, and "CPU health"-tracking tools for Intel.  Includes sample code, and outlines how to navigate critical NoSQL design tradeoffs. You'll see how tradeoffs were made between traditional and NoSQL technologies in terms of:\ndevelopment pace\nintegration with existing systems\nagile design\nrecord security\nsystem throughput\nanalytics\nprivacy issues\nmobile phone deployments\nresearch funding\nliability mitigation  \nWe will use the domain of medical apps to also show how broader enterprise solutions can be derived from insights gained from building medical analytics systems.  You'll see how benefits were gained such as two orders of magnitude speed increase in scanning medical records and  70% reduction in development time disease tracking app service.\nThis talk includes both example code and information about the critical design choices to be made in monitoring system design.  At this tutorial, you will learn: \n\nHow to build and deploy a robust data collection and analytics environment\nHow to design something your company can actually sell in this space\nHow to navigate the unique challenges developers face in highly regulated environments\nHow to plan your first pilot project\nHow to apply for federal research funding (even as a startup)\nHow to apply lessons learned from the medical and mobile realms to other enterprise problems (examples: tracking "CPU health" and monitoring "Hadoop cluster health" at Intel)\n
DTSTART:20130820T133000
SUMMARY:PM3: Practical NoSQL: Benefits and Trade-offs in Real Applications
DTEND:20130820T164459
LOCATION: See Description
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