Make a submission

Accepting submissions till 15 Jun 2019, 01:00 PM

NIMHANS Convention Centre, Bengaluru

The eighth edition of The Fifth Elephant will be held in Bangalore on 25 and 26 July. A thousand data scientists, ML engineers, data engineers and analysts will gather at the NIMHANS Convention Centre in Bangalore to discuss:

  1. Model management, including data cleaning, instrumentation and productionizing data science.
  2. Bad data and case studies of failure in building data products.
  3. Identifying and handling fraud + data security at scale
  4. Applications of data science in agriculture, media and marketing, supply chain, geo-location, SaaS and e-commerce.
  5. Feature engineering and ML platforms.
  6. What it takes to create data-driven cultures in organizations of different scales.

Highlights:

1. Meet Peter Wang, co-founder of Anaconda Inc, and learn about why data privacy is the first step towards robust data management; the journey of building Anaconda; and Anaconda in enterprise.
2. Talk to the Fulfillment and Supply Group (FSG) team from Flipkart, and learn about their work with platform engineering where ground truths are the source of data.
3. Attend tutorials on Deep Learning with RedisAI; TransmorgifyAI, Salesforce’s open source AutoML.
4. Discuss interesting problems to solve with data science in agriculture, SaaS perspective on multi-tenancy in Machine Learning (with the Freshworks team), bias in intent classification and recommendations.
5. Meet data science, data engineering and product teams from sponsoring companies to understand how they are handling data and leveraging intelligence from data to solve interesting problems.

Why you should attend?

  1. Network with peers and practitioners from the data ecosystem
  2. Share approaches to solving expensive problems such as cleanliness of training data, model management and versioning data
  3. Demo your ideas in the demo session
  4. Join Birds of Feather (BOF) sessions to have productive discussions on focussed topics. Or, start your own Birds of Feather (BOF) session.

Full schedule published here: https://hasgeek.com/fifthelephant/2019/schedule

Contact details:

For more information about The Fifth Elephant, sponsorships, or any other information call +91-7676332020 or email info@hasgeek.com

Sponsors:

Sponsorship Deck.
Email sales@hasgeek.com for bulk ticket purchases, and sponsoring 2019 edition of JSFoo:VueDay.

JSFoo:VueDay 2019 sponsors:

Platinum Sponsor

Anatta

Community Sponsors

Salesforce Ericsson freshworks
databricks

Exhibition Sponsors

Sapient Atlassian GO-JEK
Bayer

Bronze Sponsor

Sumologic Walmart Labs Atlan
Simpl Great Learning

Community Sponsors

Elastic Anaconda Aruba Networks

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

Navinder Pal Singh Brar

@navinder

Building a multi-tenant data processing and model inferencing platform with Kafka Streams

Submitted Jun 4, 2019

Each week 275 million people shop at Walmart, generating multi-terabytes of interaction and transaction data. In Customer Backbone team, we enable extraction, transforming and storing of data to be served to teams such as Ads and Personalisation for building various customer-centric machine learning models such as bid models, fraud detection and omnichannel reorder. At 5 Billion events/day our Kafka Streams cluster processes events from various channels(web/online/mobile) and triggers the models when a type of event is ingested by our platform to which each model is subscribed to. In this talk, I will share an overview of architecture, leveraging Core Kafka, Kafka Streams, and Kafka Connect, for processing events and executing models, which is inbuilt for scalability and reliability. I will discuss the below points in detail.
•Ensuring fairness among the model runs
•Providing isolation and reusing features/inferences across models at the same time
•Dynamically updating global data(such as product catalog) on each node needed to run models using Kafka Connect and global stores
•Customizing models to either trigger them on each event or as batch after frequent time intervals using features such as windowing stores and suppress
•Implementing data archival/TTL policies and other features developed to be cost efficient
•Increasing availability of the system by enabling read via replicas and while restoring/rebalancing states
•Advantages and limitations of the platform

Key Takeaways:
•Leveraging Kafka Streams for model inferencing
•Lessons learned from productionising a Kafka Streams cluster while making it cost-efficient

Outline

Key Takeaways:
•Leveraging Kafka Streams for model inferencing
•Lessons learned from productionising a Kafka Streams cluster while making it cost-efficient

Requirements

Basic understanding of distributed systems, Kafka and Kafka Streams

Speaker bio

Navinder is working as a data engineer in Walmart Labs where he has been working with Kafka ecosystem for the last couple of years, especially Kafka Streams and created a new platform on top of it to suit their needs to process billions of events per day in real time and trigger models on each event. He has been active in contributing back to Kafka Streams and has patented few features as well. He is interested in solving complex problems and distributed systems and likes to spend time in gym and boxing ring in his spare time.

Links

Slides

https://speakerdeck.com/navinder/building-a-multitenant-data-processing-and-model-inferencing-platform-with-kafka-streams?slide=4

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Make a submission

Accepting submissions till 15 Jun 2019, 01:00 PM

NIMHANS Convention Centre, Bengaluru

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