Theme and format
The Fifth Elephant 2017 is a four-track conference on:
- Data engineering – building pipelines and platforms; exposure to latest open source tools for data mining and real-time analytics.
- 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.
- Hands-on tutorials on data mining tools, and ML platforms and techniques.
- 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:
- Draft slides, mind map or a textual description detailing the structure and content of your talk.
- 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.
- 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.
- Proposals will be filtered and shortlisted by an Editorial Panel.
- Proposers, editors and community members must respond to comments as openly as possible so that the selection processs is transparent.
- Proposers are also encouraged to vote and comment on other proposals submitted here.
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.
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”.
- 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
For more information about speaking proposals, tickets and sponsorships, contact firstname.lastname@example.org or call +91-7676332020.
Out of Stone age : Why investing in developer tools is necessary for big data development to scale.
Do you wish hadoop development was as easy as any other application development ? Do you wish we had comprehensive tools that are well-integrated with each other for hadoop development ?
At linkedin, we have 1000s of nodes spread across multiple clusters. We have 1000s of active users who use the cluster on an ongoing basis and 100s of flows that runs on a regular schedule powering the data to our site. We needed a development ecosystem that spans the entire development lifecycle that can handle this scale. From authoring and testing hadoop/spark jobs to debugging and monitoring them in production, we are making development of hadoop jobs easier and intuitive.
In this talk, we will discuss about the motivation behind such an approach and the solution we are building. We are leveraging successful technologies like samza, kafka, hadoop dsl and dr. elephant as well building brand new tools for testing, monitoring and debugging.
I will start by describing the state of hadoop development at linkedin a few years and the challenges faced as our operational scale increased massively. I will then compare the development ecosystem that exists for hadoop both at linkedin and the overall community in general with the ecosystem that exists for other areas like development of online services. I will draw attention to the key drawbacks that we identified and also talk about the unique challenges faced in hadoop/spark development. I will talk about each of SDLC areas in terms of their challenges and the solutions we came up for each of them. I will highlight how we leveraged existing technologies where available and filled the gaps with new ones. I will also talk about how these are tightly integrated with each other through well defined interfaces and components. In conclusion, I will talk about potential benefits of such a system and future plans on where we can take it further.
Shankar has 17+ years of experience building distributed systems and productivity tools. He started out building a highly successful distributed test automation for windows and bing in microsoft. Then he spent the 8 years help build a middle tier platform that powered most of the online services that formed the backbone of bing and microsoft ads. He is currently leading the grid productivity team in bangalore. Empowering hadoop developers at linkedin to be more productive with their time and cluster resources.