The Fifth Elephant 2018

The Fifth Elephant 2018

The seventh edition of India's best data conference

Make a submission

Submissions are closed for this project

NIMHANS Convention Centre, Bengaluru

About the conference and topics for submitting talks:

The Fifth Elephant is rated as India’s best data conference. It is a conference for practitioners, by practitioners. In 2018, The Fifth Elephant will complete its seventh edition.

The Fifth Elephant is an evolving community of stakeholders invested in data in India. Our goal is to strengthen and grow this community by presenting talks, panels and Off The Record (OTR) sessions that present real insights about:

1. Data engineering and architecture: tools, frameworks, infrastructure, architecture, case studies and scaling.
2. Data science and machine learning: fundamentals, algorithms, streaming, tools, domain specific and data specific examples, case studies.
3. The journey and challenges in building data driven products: design, data insights, visualisation, culture, security, governance and case studies.
4. Talks around an emerging domain: such as IoT, finance, e-commerce, payments or data in government.

Target audience:

You should attend and speak at The Fifth Elephant if your work involves:

  1. Engineering and architecting data pipelines.
  2. Building ML models, pipelines and architectures.
  3. ML engineering.
  4. Analyzing data to build features for existing products.
  5. Using data to predict outcomes.
  6. Using data to create / model visualizations.
  7. Building products with data – either as product managers or as decision scientists.
  8. Researching concepts and deciding on algorithms for analyzing datasets.
  9. Mining data with greater speed and efficiency.
  10. Developer evangelists from organizations which want developers to use their APIs and technologies for machine learning, full stack engineering, and data science.

Perks for submitting proposals:

Submitting a proposal, especially with our process, is hard work. We appreciate your effort.
We offer one conference ticket at discounted price to each proposer, and a t-shirt.
We only accept one speaker per talk. This is non-negotiable. Workshops may have more than one instructor. In case of proposals where more than one person has been mentioned as collaborator, we offer the discounted ticket and t-shirt only to the person with who the editorial team corresponded directly during the evaluation process.

Format:

The Fifth Elephant is a two-day conference with two tracks on each day. Track details will be announced with a draft schedule in February 2018.

We are accepting sessions with the following formats:

  1. Full talks of 40 minutes.
  2. Crisp talks of 20 minutes.
  3. Off the Record (OTR) sessions on focussed topics / questions. An OTR is 60-90 minutes long and typically has up to four facilitators and one moderator.
  4. Workshops and tutorials of 3-6 hours duration on Machine Learning concepts and tools, full stack data engineering, and data science concepts and tools.
  5. Pre-events. Birds Of Feather (BOF) sessions, talks, and workshops for open houses and pre-events in Bangalore and other cities between October 2017 and June 2018.** Reach out to info@hasgeek.com should you be interested in speaking and/or hosting a community event between now and the conference in July 2018.

Selection criteria:

The first filter for a proposal is whether the technology or solution you are referring to is open source or not. The following criteria apply for closed source talks:

  1. If the technology or solution is proprietary, and you want to speak about your proprietary solution to make a pitch to the audience, you should pick up a sponsored session. This involves paying for the speaking slot. Write to fifthelephant.editorial@hasgeek.com
  2. If the technology or solution is in the process of being open sourced, we will consider the talk only if the solution is open sourced at least three months before the conference.
  3. If your solution is closed source, you should consider proposing a talk explaining why you built it in the first place; what options did you consider (business-wise and technology-wise) before making the decision to develop the solution; or, what is your specific use case that left you without existing options and necessitated creating the in-house solution.

The criteria for selecting proposals, in the order of importance, are:

  1. Key insight or takeaway: what can you share with participants that will help them in their work and in thinking about the ML, big data and data science problem space?
  2. Structure of the talk and flow of content: a detailed outline – either as mindmap or draft slides or textual description – will help us understand the focus of the talk, and the clarity of your thought process.
  3. Ability to communicate succinctly, and how you engage with the audience. You must submit link to a two-minute preview video explaining what your talk is about, and what is the key takeaway for the audience.

No one submits the perfect proposal in the first instance. We therefore encourage you to:

  1. Submit your proposal early so that we have more time to iterate if the proposal has potential.
  2. Talk to us on our community Slack channel: https://friends.hasgeek.com if you want to discuss an idea for your proposal, and need help / advice on how to structure it. Head over to the link to request an invite and join #fifthel.

Our editorial team helps potential speakers in honing their speaking skills, fine tuning and rehearsing content at least twice - before the main conference - and sharpening the focus of talks.

How to submit a proposal (and increase your chances of getting selected):

The following guidelines will help you in submitting a proposal:

  1. Focus on why, not how. Explain to participants why you made a business or engineering decision, or why you chose a particular approach to solving your problem.
  2. The journey is more important than the solution you may want to explain. We are interested in the journey, not the outcome alone. Share as much detail as possible about how you solved the problem. Glossing over details does not help participants grasp real insights.
  3. Focus on what participants from other domains can learn/abstract from your journey / solution. Refer to these talks from The Fifth Elephant 2017, which participants liked most: http://hsgk.in/2uvYKI9 and http://hsgk.in/2ufhbWb
  4. We do not accept how-to talks unless they demonstrate latest technology. If you are demonstrating new tech, show enough to motivate participants to explore the technology later. Refer to talks such as this: http://hsgk.in/2vDpag4 and http://hsgk.in/2varOqt to structure your proposal.
  5. Similarly, we don’t accept talks on topics that have already been covered in the previous editions. If you are unsure about whether your proposal falls in this category, drop an email to: fifthelephant.editorial@hasgeek.com
  6. Content that can be read off the internet does not interest us. Our participants are keen to listen to use cases and experience stories that will help them in their practice.

To summarize, we do not accept talks that gloss over details or try to deliver high-level knowledge without covering depth. Talks have to be backed with real insights and experiences for the content to be useful to participants.

Passes and honorarium for speakers:

We pay an honorarium of Rs. 3,000 to each speaker and workshop instructor at the end of their talk/workshop. Confirmed speakers and instructors also get a pass to the conference and networking dinner. We do not provide free passes for speakers’ colleagues and spouses.

Travel grants for outstation speakers:

Travel grants are available for international and domestic speakers. We evaluate each case on its merits, giving preference to women, people of non-binary gender, and Africans. If you require a grant, request it when you submit your proposal in the field where you add your location. The Fifth Elephant is funded through ticket purchases and sponsorships; travel grant budgets vary.

Last date for submitting proposals is: 31 March 2018.

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-recorded, 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 the solution you have built, or 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 a document showing the full workshop plan.

Contact details:

For more information about the conference, sponsorships, or any other information contact support@hasgeek.com or call 7676332020.

Hosted by

The Fifth Elephant - known as one the best #datascience and #machinelearning conference in Asia - is transitioning into a year-round forum for conversations about data and ML engineering; data science in production; data security and privacy practices. more

anugrah nayar

@codewalker

Building microservices using kafka

Submitted Mar 23, 2018

Microservices are the building blocks that power a post-cloud digital landscape. They help us in building services which are scalable and eases the deployment and development process.

As scale rises, simple, direct http calls from service to service become bottlenecks, and cascede failures through the system. A distributed, horizontally scalable bus like Kafka becomes essential.

At GO-JEK, we handle 2X of India’s total food tech daily order volume. The restaurants that make the food depend on GO-RESTO, our merchant facing app.

As we scaled, GO-RESTO started having slow queries for displaying the complete order report for a merchant in a day. We could not delete the underlying table as the table were used by other queries. We needed to move this data and the query away from the main service to uphold our SLA.

In order to move this data away from the main service, we started to publish the data to Kafka. Using the Esb Generic Log Consumer that was written for streaming data from Kafka to Postgres, we were able to get the data required to the backend database of the new microservice that we were writing. Then we wrote the backend service capable of handling the queries. In the end, we were able to reduce the latencies as well as take out the load on the main service.

In this talk I will
1. Discuss the approach taken to move away the data required for order report to the new micro services.
2. How the tools that we developed to publish to Kafka and stream the Kafka messages in understandable format to postgres helped us in developing the micro service.
3. The deployment practices that we followed so that the switch to the new micro service was painless from customer point of view

Outline

1.Brief about speaker and Gojek
2. Goresto: What it does
3. Problem: The slow query that resulted in degraded performance in goresto
4. Kafka: What is kafka and how we use kafka in our organisation.
5. Esb Log Client: The client writtem in ruby to send the data in the correct schema to Kafka
6. Esb Generic Log Consumer: The Kafka consumer we wrote to stream data from kafka to postgres.
7. Microservices: What Why and When
8. Mocha: The new microservice in Golang
9. The optimisations: The optimisations in mocha
10. Deployment practices: The practices that ensured that the switch to mocha was painless
11. Comparison: The latencies before and after
12. Conclusion: What we learned
13. Q&A

Speaker bio

Anugrah is a product engineer with GO-JEK who primarily works at food backend. He has worked with data engineering team at GO-JEK previously and helped in building the data pipeline.

Slides

https://www.slideshare.net/anugrahnayar/building-microservcies-using-kafka-93993867

Comments

{{ gettext('Login to leave a comment') }}

{{ gettext('Post a comment…') }}
{{ gettext('New comment') }}
{{ formTitle }}

{{ errorMsg }}

{{ gettext('No comments posted yet') }}

Govind Pandey

Incremental transform of transactional data models to analytical data models in near real time

Transactional systems are designed with data models to maximize write throughput across multiple parallel business flows. They evolve iteratively with business and need to react quickly to the changing business landscape to minimize time to market. Analytical systems, on the other hand, require data models to maximize query throughput over broad, deep and large data volumes. The need for a platfo… more

26 Mar 2018