Building analyzing and visualizing large graphs

Objective

A tutorial on how to model, use and visualize large graphs on existing storage systems.

Description

A lot of real world problems can be solved better using graphs. In my talk I cover the basics of solving daily problems using graphs, modeling and building larger graphs on existing back-end systems (in- memory,relational,NoSQL). The talk will also cover some simple algorithms and tools to analyze and visualize such graphs.

The lecture will be geared towards programmers

Brief overview:

• Spotting graphs in your data.
• Graph models -mostly theory, I'll keep it short.
• How to model, and program large graphs(millions of nodes and edges).
• Persisting such graphs on existing storage architectures (when switching to a graphDB is not an option or an overkill).
• Visualizing huge graphs -what tools exist and how to build your own, some algorithms for effective visualization.

Speaker bio

I am a co-founder and developer at muHive, we are working on building the worlds best customer engagement platform. more here

http://www.linkedin.com/in/ashwinrajiv https://github.com/winash

Links

• https://twitter.com/#!/ashhes
• https://github.com/winash
• http://www.muhive.com

Comments

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  [-][+] Kiran Jonnalagadda 368 days ago

  Can we have more detail, please?

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  [-][+] Ashwin Rajeev 367 days ago

  Added a rough agenda, I will share the slides soon

  [reply] [link]
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  [-][+] Anu Sharma 365 days ago

  Ashwin, are you planning a tutorial or lecture. In fact, it seems your content is most appropriate for a workshop :)

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  [-][+] Ashwin Rajeev 361 days ago

  Anu, This will be mostly theory with some examples and code in between

  [reply] [link]

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