UNCONFERENCE + Live Q&A
Streaming Data Architectures Open Space
Details to follow.
From the same track
Streaming a Million likes/second: Real-time Interactions on Live Video
When a broadcaster like BBC streams a live video on LinkedIn, tens of thousands of viewers will watch it concurrently. Typically, hundreds of likes on the video will be streamed in real-time to all of these viewers. That amounts to a million likes/second streamed to viewers per live video. How do...
![](https://archive.qconlondon.com/sites/qcon_london/files/styles/240x240/public/akhi.png?itok=FVFf5SLD)
Akhilesh Gupta
Sr. Staff Software Engineer @LinkedIn
Internet of Tomatoes: Building a Scalable Cloud Architecture
Five years ago we started on a journey of building a website monitoring tool. Little did I know that this would land up morphing into a full IoT based agriculture platform. Discussing if tomatoes need dark hours to sleep was not the type of question I had anticipated having to answer. But...
![](https://archive.qconlondon.com/sites/qcon_london/files/styles/240x240/public/flavia_paganelli.jpg?itok=iXFAykLl)
Flavia Paganelli
CTO and Founder @30Mhz
Databases and Stream Processing: A Future of Consolidation
Are databases and stream processors wholly different things, or are they really two sides of the same coin? Certainly, stream processors feel very different from traditional databases when you use them. In this talk, we’ll explore why this is true, but maybe more importantly why it's...
![](https://archive.qconlondon.com/sites/qcon_london/files/styles/240x240/public/ben_stopford_2.jpg?itok=YzOgIoeR)
Benjamin Stopford
Author of “Designing Event Driven Systems” & Senior Director @confluentinc
From Batch to Streaming to Both
In this talk I walk through how the streaming data platform at Skyscanner evolved over time. This platform now processes hundreds of billions of events per day, including all our application logs, metrics and business events. But streaming platforms are hard, and we did not get it right on day...
![](https://archive.qconlondon.com/sites/qcon_london/files/styles/240x240/public/herman_schaaf.png?itok=Uuj4Yajg)
Herman Schaaf
Senior Software Engineer @Skyscanner
Machine Learning Through Streaming at Lyft
Uses of Machine Learning are pervasive in today’s world. From recommendations systems to ads serving. In the world of ride sharing we use Machine Learning to make a lot of decisions in realtime, for example: supply/demand curves are used to get an accurate ETA(estimated time of arrival) and...
![](https://archive.qconlondon.com/sites/qcon_london/files/styles/240x240/public/sherin_thomas.png?itok=5Oj_CU-3)
Sherin Thomas
Senior Software Engineer @Lyft