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Not Just Hadoop: NoSQL in the Enterprise at Strata NYC 2012

SPF13

Robert Lancaster from Orbitz joined me on stage for the final presentation of the Bridge to Big Data track. This is my second time presenting at Strata’s Big Data conference. Big data for the rest of us. also applies to data” #structureconf. and applies to big data. How BIG is it?

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Not Just Hadoop: NoSQL in the Enterprise at Strata NYC 2012

SPF13

Robert Lancaster from Orbitz joined me on stage for the final presentation of the Bridge to Big Data track. This is my second time presenting at Strata’s Big Data conference. Big data for the rest of us. also applies to data” #structureconf. and applies to big data. How BIG is it?

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NIST To Hold Data Science Symposium 4-5 March 2014

CTOvision

Please submit your topics in accordance with the below (From: [link] ): Data Science Symposium 2014. It is set apart from related symposia by our emphasis on advancing data science technologies through: Benchmarking of complex data-intensive analytic systems and subcomponents. Major forms of analytics employed in data science.

Data 280
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Dutch Enterprises and The Cloud

All Things Distributed

Shell leverages AWS for big data analytics to help achieve these goals. Due to the exponential growth of the biology and informatics fields, Unilever needs to maintain this new program within a highly-scalable environment that supports parallel computation and heavy data storage demands.

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Build your first MongoDB App in Ruby @ StrangeLoop 2013

SPF13

spf13 Steve Francia AKA Chief Developer Advocate @ responsible for drivers, integrations, web & docs. Runs nearly everywhere * Data serialized as BSON (fast parsing) * Full support for primary & secondary indexes * Document model = less work High Performance. Tradational schema design Focuses on data storage.

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Build your first MongoDB App in Ruby @ StrangeLoop 2013

SPF13

spf13 Steve Francia AKA Chief Developer Advocate @ responsible for drivers, integrations, web & docs. Runs nearly everywhere * Data serialized as BSON (fast parsing) * Full support for primary & secondary indexes * Document model = less work High Performance. Tradational schema design Focuses on data storage.