Jul 2016
25 Mon
26 Tue
27 Wed
28 Thu 08:30 AM – 06:25 PM IST
29 Fri 08:30 AM – 06:15 PM IST
30 Sat 08:45 AM – 05:00 PM IST
31 Sun 08:15 AM – 06:00 PM IST
Jul 2016
25 Mon
26 Tue
27 Wed
28 Thu 08:30 AM – 06:25 PM IST
29 Fri 08:30 AM – 06:15 PM IST
30 Sat 08:45 AM – 05:00 PM IST
31 Sun 08:15 AM – 06:00 PM IST
The Fifth Elephant is India’s most renowned data science conference. It is a space for discussing some of the most cutting edge developments in the fields of machine learning, data science and technology that powers data collection and analysis.
Machine Learning, Distributed and Parallel Computing, and High-performance Computing continue to be the themes for this year’s edition of Fifth Elephant.
We are now accepting submissions for our next edition which will take place in Bangalore 28-29 July 2016.
#Tracks
We are looking for application level and tool-centric talks and tutorials on the following topics:
The deadline for submitting proposals is 30th April 2016
This year’s edition spans two days of hands-on workshops and conference. We are inviting proposals for:
Proposals will be filtered and shortlisted by an Editorial Panel. We urge you to add links to videos / slide decks when submitting proposals. This will help us understand your past speaking experience. Blurbs or blog posts covering the relevance of a particular problem statement and how it is tackled will help the Editorial Panel better judge your proposals.
We expect you to submit an outline of your proposed talk – either in the form of a mind map or a text document or draft slides within two weeks of submitting your proposal.
We will notify you about the status of your proposal within three weeks of submission.
Selected speakers must participate in one-two rounds of rehearsals before the conference. This is mandatory and helps you to prepare well for the conference.
There is only one speaker per session. Entry is free for selected speakers. As our budget is limited, we will prefer speakers from locations closer home, but will do our best to cover for anyone exceptional. HasGeek will provide a grant to cover part of your travel and accommodation in Bangalore. Grants are limited and made available to speakers delivering full sessions (40 minutes or longer).
HasGeek believes in open source as the binding force of our community. If you are describing a codebase for developers to work with, we’d like it to be available under a permissive open source licence. If your software is commercially licensed or available under a combination of commercial and restrictive open source licences (such as the various forms of the GPL), please consider picking up a sponsorship. We recognise that there are valid reasons for commercial licensing, but ask that you support us in return for giving you an audience. Your session will be marked on the schedule as a sponsored session.
##Venue
The Fifth Elephant will be held at the NIMHANS Convention Centre, Dairy Circle, Bangalore.
##Contact
For more information about speaking proposals, tickets and sponsorships, contact info@hasgeek.com or call +91-7676332020.
Hosted by
Bharani
@bharanisub
Submitted Mar 22, 2016
Many data processing tasks require low-latency interactive access to results, iterative sub-computations, and consistent intermediate outputs so that sub-computations can be nested and composed. Timely Dataflow is the computational model that addresses these challenges as an unified systems as suppose to bolting batch & stream processing system together. It is first presented as part of Naiad (SOSP 2013).
What are the challenges faced in steram processing: Imagine a system where the data is continuously updated and you need to support both historical data + recent stream and avoid the costly recomputation
How does timely dataflow fit in the stream processing model: Will be covering what timely dataflow offers - cyclic computation, notification mechanism, concept of time in stream processing
Why is it different from other stream processing systems like spark/storm/flink : Not all computation can be easily expressed in Directed Acyclic Graphs which most of the stream processing systems offers - one such example is cyclic computation which can be elegantly modelled in timely dataflow
Pros & Cons: Will take a practical example of an aggregation and showcase pros & cons of the timely dataflow model , with code and time taken
I am a passionate developer and a speaker. I regularly speak in the monthly geeknight meetup in chennai and have spoken in GIDS 2014,2015 both the years on dealing with systems that handle large volume of data with unique challenges of near real time processing. I have built and maintained systems for Banking, Media, and Retail domain. I continuously challenge the status quo and constantly thrive to improve on the solutions i have built in the past. This journey has made me build & rebuild real time analytics solutions that crunches large volume of data carefully balancing throughput & low latency
https://docs.google.com/presentation/d/1mtGyIWsdEEHvcCnMVOobMp78S6FvBlgoZ58JRMSeZ-c/edit?usp=sharing
Jul 2016
25 Mon
26 Tue
27 Wed
28 Thu 08:30 AM – 06:25 PM IST
29 Fri 08:30 AM – 06:15 PM IST
30 Sat 08:45 AM – 05:00 PM IST
31 Sun 08:15 AM – 06:00 PM IST
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