What are your users doing on your website or in your store? How do you turn the piles of data your organization generates into actionable information? Where do you get complementary data to make yours more comprehensive? What tech, and what techniques?
The Fifth Elephant is a two day conference on big data.
Early Geek tickets are available from fifthelephant.doattend.com.
The proposal funnel below will enable you to submit a session and vote on proposed sessions. It is a good practice introduce yourself and share details about your work as well as the subject of your talk while proposing a session.
Each community member can vote for or against a talk. A vote from each member of the Editorial Panel is equivalent to two community votes. Both types of votes will be considered for final speaker selection.
It’s useful to keep a few guidelines in mind while submitting proposals:
Describe how to use something that is available under a liberal open source license. Participants can use this without having to pay you anything.
Tell a story of how you did something. If it involves commercial tools, please explain why they made sense.
Buy a slot to pitch whatever commercial tool you are backing.
Speakers will get a free ticket to both days of the event. Proposers whose talks are not on the final schedule will be able to purchase tickets at the Early Geek price of Rs. 1800.
Building analyzing and visualizing large graphs
A tutorial on how to model, use and visualize large graphs on existing storage systems.
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
- 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.
I am a co-founder and developer at muHive, we are working on building the worlds best customer engagement platform. more here