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DESCRIPTION:Click for Latest Location Information: http://nosql2014.dataversity.net/sessionPop.cfm?confid=81&proposalid=6599\nTechnologies such as Hadoop have addressed the "Volume" problem of Big Data, and technologies such as Spark have recently addressed the "Velocity" problem – but the "Variety" problem is largely unaddressed – there is a lot of manual "data wrangling" to mange data models.\nThese manual processes do not scale well.  Not only is the variety of data increasing, also the rate of change in the data definitions is increasing.  We can’t keep up. \nNoSQL data repositories can handle storage, but we need effective models of the data to fully utilize it.\nThis talk will present tools and a methodology to manage Big Data Models in a rapidly changing world. This talk covers:\nCreating Semantic Metadata Models of Big Data Resources\nGraphical UI Tools for Big Data Models\nTools to synchronize Big Data Models and Application Code\nUsing NoSQL Databases, such as Amazon DynamoDB, with Big Data Models\nUsing Big Data Models with Hadoop, Storm, Spark, Giraph, and Inference\nUsing Big Data Models with Machine Learning to generate Predictive Models\nDeveloper Collaborative/Coordination processes using Big Data Models and Git\nManaging change – Big Data Models with rapidly changing Data Resources\nTechniques will be demonstrated with a sample application.
DTSTART:20140821T140000
SUMMARY:Big Data Modeling
DTEND:20140821T144459
LOCATION: See Description
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