Big Data

  Serge Blazhievsky, Nice / Merced Systems Nati Shalom, GigaSpaces Leon Guzenda, Objectivity, Inc. Jans Aasman, Franz, Inc. Kimberly Chulis, Core Analytics, LLC

While most developers know that NoSQL solutions are highly scalable, of the oft-quoted three “V’s” of Big Data – Volume, Velocity and Variety – many of the key NoSQL advantages are not about “bigness” at all, but rather about velocity and variety.  Dealing with extreme speed and complexity requirements is often the driver for NoSQL projects, especially when the data is unstructured, and real-time response is essential.  The Big Data track will describe how different NoSQL options, from Hadoop to Graphs to RDF (semantics) can be used to solve various Big Data challenges.



08:30 AM - 11:45 AM
AM1: Introduction to Hadoop, MapReduce and HDFS for Big Data Applications Serge Blazhievsky, Nice/Merced Systems
12:00 PM - 12:30 PM
NoSQL without Compromises DeWayne Filppi, GigaSpaces
10:30 AM - 11:15 AM
Real time analytics for Big Data - a Twitter case study Nati Shalom, GigaSpaces
11:30 AM - 12:15 PM
Transform Big Data into Actionable Intelligence with Graphs Leon Guzenda, Objectivity, Inc.
12:30 PM - 01:00 PM
Big Data, Fast Data, and Complex Data - Defining and Overcoming Challenges Jans Aasman, Franz Inc
04:15 PM - 04:45 PM
Introducing Hadoop and Big Data into a Healthcare Organization: A True Story and Learned Lessons Vladimir Bacvanski, SciSpike
Lloyd Mangnall, VHA
10:00 AM - 10:30 AM
The Top 5 Factors to Consider When Choosing a Big Data Solution Jonathan Ellis, DataStax
11:00 AM - 11:30 AM
Big Data Advanced Analytics for Game Monetization Kimberly Chulis, Core Analytics, LLC
11:45 AM - 12:15 PM
On demand access to Big Data through Semantic Technologies Peter Haase, fluid Operations
02:00 PM - 02:45 PM
Getting Big Data Healthy Billy Bosworth, DataStax
Scott McPheeters, HealthX

Produced By: Dataversity

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