Michael Covert, CEO of Analytics Inside -- http://www.analyticsinside.us , will present.
This is how he describes his presentation:
These are the basic topics that I would like to discuss. I tend to keep these things at a pretty high level, so I don't want anyone to be intimidated by the subject matter. Of all of the subjects, I would like to focus on ETL and Algorithms. Everything is framed in a very approachable, use case oriented fashion with examples. Everything here can be covered in about an hour to an hour and a half.
Elements of Graph Analytics
Extraction, Transformation, and Loading
Useful graph transformations
Basic foundations of Graph Theory Algorithms
Component importance and classification
Structural analysis and detection
A cross-section of products
Graph Theory frameworks
Graph data processing
The emerging role of Big Data and NoSQL