In 2013, commodity hardware and computing capacity for storing and processing large and small volumes of data are easily available on demand. The bigger issues pertain to questions of how to scale data processing, handle data diversity, manage infrastructure costs, decide which technologies work best for different contexts and problems, and build products from the insights and intelligence that the data is presenting to you.
The Fifth Elephant 2013 is a three-day workshop and conference on big data, storage and analytics, with product demos and hacker corners.
Event format, themes and submission guidelines
The Fifth Elephant 2013 invites proposals on use cases and real-life examples. Tell us what specific problem you faced, which technology/tools worked for your use case and why, how you have developed business intelligence on the data you are collecting, and analytics tools and techniques you employ. Our preference is for showcasing original work with clear take-aways for the audience. Please emphasize these in your proposal.
The conference will have two parallel tracks on 12th and 13th July:
- Storage: OLTP, messaging and notifications, databases and big data, NoSQL
- Analytics: Metrics and tools, cloud computing, mathematical modelling and statistical analysis, visualization
This year we are adding a preliminary day of workshops, on 11th July, to provide attendees more in-depth, hands-on training on open source frameworks and tools (Pig, Hadoop, Hive, etc), commercial solutions (sponsored), programming languages such as R, and visualization techniques and tricks, among others.
Product demos and sponsored sessions
We have a demo track for startups and companies who want to showcase their product to customers at The Fifth Elephant 2013 and get feedback. Slots are also open for 4-6 sponsored sessions for companies who want to talk about their technologies and reach out to developers, CTOs, CIOs and product managers at The Fifth Elephant. For more information on demo and sponsored session proposals, write to email@example.com.
Commitment to open source
HasGeek believes in open source as the foundation of the internet. Our aim is to strengthen these foundations for future generations. If your talk describes a codebase for developers to work with, we require that it is available under a license that does not impose itself on subsequent work. This is typically a permissive open source license (almost anything that is listed at opensource.org/licenses and is not GPL or AGPL), but restrictive and commercial licenses are also considered depending on how they affect the developer’s relationship with the user.
If you’d like to showcase commercial work that makes money for you, please consider supporting the event with a sponsorship.
Proposal selection process
Voting is open to attendees who have purchased event tickets. If there is a proposal you find notable, please vote for it and leave a comment to initiate discussions. Your vote will be reflected immediately, but will be counted towards selections only if you purchase a ticket. Proposals will also be evaluated by a program committee consisting of:
- Gopal Vijayraghavan, Hortonworks
- Govind Kanshi, Microsoft
- Joydeep Sen Sharma, Qubole
- Srinivasan Seshadri (Sesh), Boltell
Emphasis will be placed on original work and talks which present new insights to the audience.
The programme committee will interview proposers who have received maximum votes from attendees and the committee. Proposers must submit presentation drafts as part of the selection process to ensure the talk is in line with the original proposal and to help the program committee build a coherent line-up for the event.
There is only one speaker per session. Attendance is free for selected speakers. HasGeek will cover your travel to and accommodation in Bangalore from anywhere in the world. As our budget is limited, we will prefer speakers from locations closer home, but will do our best to cover for anyone exceptional. If you are able to raise support for your trip, we will count that towards an event sponsorship.
If your proposal is not accepted, you can buy a ticket at the same rate as was available on the day you proposed. We’ll send you a code.
Discounted tickets are available from http://fifthelephant.doattend.com/
The program committee will announce the first round of selected proposals by end of April, a second round by end-May, and will finalize the schedule by 20th June. The funnel will close on 5th June. The event is on 11th-13th July 2013.
Cloud based low cost, low maintenance, scalable data platform
The session aims at companies and individuals who are contemplating of pluging into big data world but are avoiding it due to upfront technical and monetary investments. Some of the questions it tries to answer are :-
How to build a full fledged data platform in a couple of months.
How to create an effective fault tolerant data pipeline.
How to run an elastic storage without counting number of spinning disks and dollars spent in spinning them.
How to speed up batch processing systems by a click of a button.
Taming the big data beast involves collecting, storing, using and reusing it. In this section I’ll try to explain how we at myntra have addressed these. Also in big data world storage and maintenance costs are biggest stumbling block, I’ll focus on how we’ve kept this to the minimum. I’ll also give an overview on how are transactional systems are interacting with the data platform.
I’ll talk about some of the technologies which we are using (primary being Amazon EMR, Amazon S3, Apache Kafka, Twitter Finagle), why we chose them and how are they treating us.
I’ll also mention some of the business problems we are trying to solve like personalizing user experience on our website, measuring the effectiveness of marketing campaigns, understanding the life cycle of any product etc. and how has the platform helped us.
Basic understanding of big data and web scale systems.
I’m working as an Associate Architect in Myntra dot com, India’s largest online fashion store. I’ve been building web scale systems for nine years and have been working on NoSQL systems for two years now. I built a mongoDB based analytics engine which used to power our web analytics. Working on it I realized the shortcomings of technologies which are not inherently distributed. I’ve also been the key member behind scaling and speeding up myntra’s portal. Working in a startup I’ve realized that biggest boon is time to market and biggest bane is maintenance overheard. I’ve tried to use these learning while building this data platform.