The Fifth Elephant 2016

India's most renowned data science conference

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:

  1. Deep Learning
  2. Text Mining
  3. Computer Vision
  4. Social Network Analysis
  5. Large-scale Machine Learning (ML)
  6. Internet of Things (IoT)
  7. Computational Biology
  8. ML in healthcare
  9. ML in education
  10. ML in energy and ecology
  11. ML in agriculrure
  12. Analytics for emerging markets
  13. ML in e-governance
  14. ML in smart cities
  15. ML in defense

The deadline for submitting proposals is 30th April 2016

Format

This year’s edition spans two days of hands-on workshops and conference. We are inviting proposals for:

  • Full-length 40 minute talks.
  • Crisp 15-minute talks.
  • Sponsored sessions, 15 minute duration (limited slots available; subject to editorial scrutiny and approval).
  • Hands-on Workshop sessions, 3 and 6 hour duration.

Selection process

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).

Commitment to open source

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.

Key dates and deadlines

  • Revised paper submission deadline: 17 June 2016
  • Confirmed talks announcement (in batches): 13 June 2016
  • Schedule announcement: 30 June 2016
  • Conference dates: 28-29 July 2016

##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

The Fifth Elephant - known as one of the best data science and Machine Learning conference in Asia - has transitioned into a year-round forum for conversations about data and ML engineering; data science in production; data security and privacy practices. more

Shankar Hiremath

@shankarhiremath

Unified & Distributed Test Infrastructure at Scale (Hortonworks Data Platform Testing)

Submitted Apr 24, 2016

Extensive software testing is required before the actual release to ensure the software quality and the software has to perform equally well in every platform and combination of configurations.
When it comes to a data platform, the testing is even more complicated due to variety of clusters, storage layers, operating systems, JDK versions, data base flavors, execution engine, security config, combination of component configurations and many more... and each component in a data platform will have their own test framework for test case execution.

In order to handle this we came up with a unified & distributed test infrastructure. Unified by isolating the test infra specifications & test configs from the test infrastructure implementation. And distributed the clusters, components & test suites workload to achieve parallelism & get a quick feedback on the release.

Outline

  1. E2E view of Unified & Distributed Test Infrastructure at scale
  2. Configuration Management & Scheduling for systematic release testing
  3. Test Infrastructure Setup Unit for provision a cluster & make it ready to start test script execution
  4. Generic Test Execution Engine Architecture to handle multiple underlying component specific test frameworks
  5. Live Status Update on Dashboard for test infra and test execution process upadte
  6. Log collection and Log search - framework for test failure analysis at scale
  7. Results/Experience Sharing

Speaker bio

Shankar Hiremath has around 10 years of experience in software testing & framework development. He is currently a Senior SDET at Hortonworks Data Platform, his current role involves development of test infrastructure & adding new capabilities to handle the Hortonworks data platform testing at scale.

Slides

https://drive.google.com/file/d/0B_DcEmBvgpYWVV9MSktHamwzSm8/view?usp=sharing

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Hosted by

The Fifth Elephant - known as one of the best data science and Machine Learning conference in Asia - has transitioned into a year-round forum for conversations about data and ML engineering; data science in production; data security and privacy practices. more