Presented By O'Reilly and Cloudera
Make Data Work
5–7 May, 2015 • London, UK
Kevin Schmidt

Kevin Schmidt
Head of Data Science, Mind Candy Ltd

Website | @kevinschmidtbiz

Kevin built up the data science and engineering team at Mind Candy, and with the team created a scalable architecture for mobile game analytics. Before Mind Candy, Kevin headed the data science and back-end services team at Last.fm, working with ten years of music listening data from millions of users. He also spent four years working on private clouds and service architecture at Goldman Sachs.

Sessions

16:15–16:55 Thursday, 7/05/2015
Data Science
Location: King's Suite - Balmoral
Kevin Schmidt (Mind Candy Ltd), Luis Angel Vicente Sanchez (Mind Candy Ltd.)
Average rating: ****.
(4.50, 2 ratings)
Mobile gaming is a fast-moving field and needs metrics like daily active users or revenue in real-time to be able to fine-tune quickly. Approximation is needed to count those metrics, as the data volume would be too large to process exactly in real-time. We will demonstrate how to use Spark Streaming and probabilistic data structures to achieve a low error rate, even for many millions of users. Read more.