The Fifth Elephant 2017
On data engineering and application of ML in diverse domains
Jul 2017
24 Mon
25 Tue
26 Wed
27 Thu 08:15 AM – 10:00 PM IST
28 Fri 08:15 AM – 06:25 PM IST
29 Sat
30 Sun
On data engineering and application of ML in diverse domains
Jul 2017
24 Mon
25 Tue
26 Wed
27 Thu 08:15 AM – 10:00 PM IST
28 Fri 08:15 AM – 06:25 PM IST
29 Sat
30 Sun
##Theme and format
The Fifth Elephant 2017 is a four-track conference on:
The Fifth Elephant is a conference for practitioners, by practitioners.
Talk submissions are now closed.
You must submit the following details along with your proposal, or within 10 days of submission:
##About the conference
This year is the sixth edition of The Fifth Elephant. The conference is a renowned gathering of data scientists, programmers, analysts, researchers, and technologists working in the areas of data mining, analytics, machine learning and deep learning from different domains.
We invite proposals for the following sessions, with a clear focus on the big picture and insights that participants can apply in their work:
##Selection Process
We will notify you if we move your proposal to the next round or reject it. A speaker is NOT confirmed for a slot unless we explicitly mention so in an email or over any other medium of communication.
Selected speakers must participate in one or 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.
##Travel grants
Partial or full grants, covering travel and accomodation are made available to speakers delivering full sessions (40 minutes) and workshops. Grants are limited, and are given in the order of preference to students, women, persons of non-binary genders, and speakers from Asia and Africa.
##Commitment to Open Source
We believe in open source as the binding force of our community. If you are describing a codebase for developers to work with, we’d like for 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), you should consider picking up a sponsorship. We recognise that there are valid reasons for commercial licensing, but ask that you support the conference in return for giving you an audience. Your session will be marked on the schedule as a “sponsored session”.
##Important Dates:
##Contact
For more information about speaking proposals, tickets and sponsorships, contact info@hasgeek.com or call +91-7676332020.
Hosted by
Tarun Gupta
@tarung
Submitted Apr 30, 2017
If you have an event driven mission-critical application, you are always worried about such application failing and leading to opportunity or revenue loss. For a data based adtech company like Zapr Media Labs, one such application is deducting costs in real time for displayed advertisements and stop displaying when daily or hourly caps are reached. Such applications have challenges of scalability, exactly once guarantee, de-duping, replayability and zero data loss during application upgrades.
In this talk, I will discuss the design choices we have made to tackle these challenges, various technology evaluated. Finally, how we used Spark and Kafka with some neat tricks to achieve this and learnings from the journey of this applications.
Talk will be structured in the following format
Technical Lead at Zapr Media Labs. Leading infrastructure team at Zapr to build scalable infrastructure that helps profiles millions of users and bridge between TV to Mobile advertisment campaigns. Before this Worked at Qualcomm as Engineer with Linux USB team working on development of USB function drivers, USB controller drivers, Linux USB Host and Device Stack for Snapdragon based chip-sets.
https://docs.google.com/presentation/d/16HItPQ-DqvBwCILC95T6pVsvQG7mh40_xSGgSH7WIlw/edit?usp=sharing
Jul 2017
24 Mon
25 Tue
26 Wed
27 Thu 08:15 AM – 10:00 PM IST
28 Fri 08:15 AM – 06:25 PM IST
29 Sat
30 Sun
Hosted by
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