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DESCRIPTION:Click for Latest Location Information: http://nosql2014.dataversity.net/sessionPop.cfm?confid=81&proposalid=6500\nBig Data needs data scientists, because at the moment, the meaning of all the attributes in the many big data, datasets that they consume, is in their heads.  Further, there aren't many people who understand a domain well  and can use the Big Data toolkits.  \nDespite the catchy title, schema-less databases benefit from a schema, as long as it is not like a traditional schema that gets in the way as much as it helps.\nThis talk introduces Semantic Technology for Big Data Scientists and NOSQL practitioners.  What the attendee will learn:\nVery briefly what semantic technology is and how it works\nHow, with a demonstration, semantic attribution can be added to datasets\nHow semantic categorization can make building a big data metadata repository possible\nHow the RDF triplestore in semantic technology, extends the notion of a graph database to one interoperable at webscale\nHow Semantics promotes "schema-later" rather than "schema-less" where schema can be applied after the data has been harvested and analyzed, without requiring data conversion. \nBig Data and NOSQL can be greatly enhanced by applying a little bit of semantics.
DTSTART:20140821T083000
SUMMARY:Semantics: The Third "V" in Big Data, and the Schema for Schema-less Databases
DTEND:20140821T091459
LOCATION: See Description
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