The Fifth Elephant 2017

On data engineering and application of ML in diverse domains

Theme and format

The Fifth Elephant 2017 is a four-track conference on:

  1. Data engineering – building pipelines and platforms; exposure to latest open source tools for data mining and real-time analytics.
  2. Application of Machine Learning (ML) in diverse domains such as IOT, payments, e-commerce, education, ecology, government, agriculture, computational biology, social network analysis and emerging markets.
  3. Hands-on tutorials on data mining tools, and ML platforms and techniques.
  4. Off-the-record (OTR) sessions on privacy issues concerning data; building data pipelines; failure stories in ML; interesting problems to solve with data science; and other relevant topics.

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:

  1. Draft slides, mind map or a textual description detailing the structure and content of your talk.
  2. Link to a self-record, two-minute preview video, where you explain what your talk is about, and the key takeaways for participants. This preview video helps conference editors understand the lucidity of your thoughts and how invested you are in presenting insights beyond your use case. Please note that the preview video should be submitted irrespective of whether you have spoken at past editions of The Fifth Elephant.
  3. If you submit a workshop proposal, you must specify the target audience for your workshop; duration; number of participants you can accommodate; pre-requisites for the workshop; link to GitHub repositories and documents showing the full workshop plan.

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:

  • Full-length, 40-minute talks.
  • Crisp, 15-minute talks.
  • Sponsored sessions, of 15 minutes and 40 minutes duration (limited slots available; subject to editorial scrutiny and approval).
  • Hands-on tutorials and workshop sessions of 3-hour and 6-hour duration where participants follow instructors on their laptops.
  • Off-the-record (OTR) sessions of 60-90 minutes duration.

Selection Process

  1. Proposals will be filtered and shortlisted by an Editorial Panel.
  2. Proposers, editors and community members must respond to comments as openly as possible so that the selection processs is transparent.
  3. Proposers are also encouraged to vote and comment on other proposals submitted here.

Selection Process Flowchart

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:

  • Deadline for submitting proposals: June 10
  • First draft of the coference schedule: June 20
  • Tutorial and workshop announcements: June 20
  • Final conference schedule: July 5
  • Conference dates: 27-28 July

Contact

For more information about speaking proposals, tickets and sponsorships, contact info@hasgeek.com or call +91-7676332020.


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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

Rajaram Mallya

@rajarammallya

Democratising Data in the Microservices World

Submitted Jun 10, 2017

In the new world of microservices, every service lives independently with its own databases. But then, they still need data from other microservices to function. It becomes harder and harder for running any kind of analytics or data science on all this fragmented data.
In this democratic, decentralized world how do you empower microservices teams to build their own data pipelines? How do you enable numerous small teams to aggregate and transform real time streams of data? And what about frequently changing schemas of all the other microservices a team uses? How do we make this possible without having evey team learn the intricate nuances of today’s real time streaming pipelines?

This session addresses how we tackled all these problems by building the right data platform tools in Gojek. How we used Kafka, Protobuf schemas and Flink aggregations to democratise data for other engineering teams within the org. How we abstracted out the nuances and comman pitfalls of data pipelines and allowed microservice teams to concentrate on their own business logic. And how we provided a safe, decentralized environment within Gojek for all teams - from product to data science - to experiment, transform and aggregate data in any form or fashion.

At the end of this session, I hope you will take away some of the lessons we learned on how to decentralize data access, how to empower other engineering teams to consume data and how to provide them the support they need for DIY data pipelines.

Outline

  1. Challenges for data in the microservice world
    a. Fragmentation
    b. Tracking schema changes
    c. Discoverability and Accessibility
  2. The Data platform solution
    a. Kafka centric tools
    b. Protobuf for schema management
    c. Abstracting flink aggregations
  3. Empowering the Dev Org
    a. Ease of use of the Data platform
    b.’Open Sourcing’ within the org
    c. Data Discoverability

Speaker bio

I am a data geek at Gojek, Indonesia’s largest Unicorn. I work in the core data engineering team. My previous stints include an AI startup and a long stint at Thoughtworks.

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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