Analysing high throughput Data in Real Time

Jul 2019

22 Mon

23 Tue

24 Wed

25 Thu 09:15 AM – 05:45 PM IST

26 Fri 09:20 AM – 05:30 PM IST

27 Sat

28 Sun

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Accepting submissions till 15 Jun 2019, 01:00 PM

NIMHANS Convention Centre, Bengaluru

Tickets

Pinned update

The Fifth Elephant Winter edition starts at 9:30 am; live stream for members This update is for participants only

##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:

Model management, including data cleaning, instrumentation and productionizing data science.
Bad data and case studies of failure in building data products.
Identifying and handling fraud + data security at scale
Applications of data science in agriculture, media and marketing, supply chain, geo-location, SaaS and e-commerce.
Feature engineering and ML platforms.
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?

Network with peers and practitioners from the data ecosystem
Share approaches to solving expensive problems such as cleanliness of training data, model management and versioning data
Demo your ideas in the demo session
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

#Community Sponsors

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#Community Sponsors

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The Fifth Elephant

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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This submission has been added to the schedule

Analysing high throughput Data in Real Time

Submitted Jun 15, 2019

Session type: Full talk of 40 mins Session type: Short talk of 20 mins

##Analysing high throughput Data in Real Time

Namit Mahuvakar
Data Engineering at Hotstar

At Hotstar, India’s largest premium streaming and entertainment platform, we generate more than 15 Billion clickstream events per day. This data is generated from multiple sources and by multiple teams. We built Bifrost, our internal Data Management Platform, as a single platform that allows users to ingest data of any kind & shape, and allow users to query the streaming and stationary data with ease. The data ingestion API abstracts the underlying complexities of producing, consuming, and processing data. It is built to be highly available, durable and resilient since this is the single entry point for all data coming into Hotstar

Kafka is the backbone of our real-time data platform, data is ingested through the in-house fault tolerant solutions around the ingestion API layer which is written entirely in Go to reliably ingest TBs of validated data each day at a peak of a Million messages per second.
In this presentation we will discuss the promises and use of Stream processing over Kafka Streams leveraging KSQL to analyse the ingested events to solve certain real-time use cases such as Playback Failure Rate which is a fundamental metric for over the top media streaming platforms.

Outline

Introduction
About Hotstar
Stream Processing @Hotstar
- What is Stream Processing and Why was it required
- Problems that lead to usage
  - Video Player Metricing
  - Social Signals
  - User Targeting
Case Study - Video Player Metrics
- What are the P1 metrics
- How did we solve and compute them real time
Case Study - Social Signals
- What are the Social Signals
- How did we solve engagement in real time
Key Take Away Discussion
- Why and when should we use Stream processing
Q&A

Requirements

Basic Knowledge on -

Kafka
Stream Processing
HDFS
SQL

Speaker bio

Currently, Data Engineering at Hotstar. Previously at WebEngage and co-founder at CareODrive. Interested in spreading/sharing knowledge and in solving problems at a scale that matters. Previously held talks at Golang Meet-Ups, Bangalore, India and the 21CF Global Data Summit. Big fan of Radiohead, hit me up for a jam session any time.