(Skip ahead to session proposals)
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
Workshops
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 info@hasgeek.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/
Dates
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.
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
PG
Prabhu Prakash Ganesh
@pgprabhu
Building large scale Analytics Platform
Submitted May 15, 2013
Section:
Analytics and Visualization
Technical level:
Intermediate
As companies try to test the waters of big data, they are bombarded by a lot of hype and diverse opinions, so it is easy to be overwhelmed. In this session, I plan to share our experience in building a large scale analytics platform, the choices we made and why. The intention is to help people make decisions for themselves or their organizations.
Outline
I will start with a brief introduction to Media IQ, the world of online display advertising and the business need for a big data platform. I will then go into the options we considered and the current technology stack and infrastructure that we have the platform on. I will give an overview of our data pipeline, the technologies we are using - S3, Elastic MapReduce, Hadoop/Hive and the components that we built to put it all together. I will then talk about batch processing vs AdHoc Querying, give some perspective from the users of our platform and why we had to evolve the platform to facilitate these two kinds of querying. I will talk about our experience with Amazon’s Redshift, HBase and will also give a sense of costs (storage, processing) vs performance (querying/processing times) and the trade-offs
Requirements
Exposure to big data jargon!
Speaker bio
Prabhu heads the technology team at MEDIA iQ Digital, who are the next generation digital advertising trading specialists. He has over a decade of experience in the software industry and has designed and developed high performing large scale backend platforms and complex enterprise applications. Prior to MEDIA iQ, he was at Dow Jones where he built an extensive and scalable search platform, that was handling more than a billion documents.
Slides
Comments
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
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