Owein Reese, who manages a group of engineers in MediaMath’s Creatives Management Tribe, took an unusual route to a career in software development. Owein’s mother was a programmer at IBM back in the days of punch-card programming (well… the 80’s) but punch cards failed to interest him in programming as a child. It wasn’t until he got to college that he began to write code to solve mathematical problems and still later on in his career that software became the focus. Owein entered the University of Rochester with degrees in optical engineering and math at the peak of the dotcom […]
Last week, MediaMath employees around the world tuned in for our bi-annual hackathon, and hosted more than a dozen teams working for 24 hours to build projects that wouldn’t otherwise make out sprint schedule. Joe Zawadzki, our CEO, and Byron Ellis, the CTO of Spongecell and our guest judge, shared their thoughts immediately after watching presentations from the participants.
Software design pattern is a general repeatable solution to a commonly occurring problem in software design. It provides a description and guideline to solve a problem that can be used in multiple different situations. Because development speed is increased when using a proven prototype, developers using design pattern templates can improve coding efficiency and final product readability. MediaMath’s Engineering team used design patterns to add flexibility, extensibility and reusability to components of a greenfield real-time sizing service for Data Management Platform (DMP). Advertisers use a DMP to store millions of data entries that they have on potential users they would like to […]
In this series we have been relating some adventures MediaMath has been having getting the NoSQL database Cassandra to work for our needs as we built out of our Data Management Platform service. As mentioned in our previous post we needed to do a fair amount of tuning in order to scale Cassandra to our workload. In this post we’ll focus on some of the techniques we developed (good and bad) in order to handle the rapid increase in our data ingest. Using a combination of freely available automation tools, building our own custom tooling and clever utilization of AWS […]
This is part one of a multi-part series exploring the successes (and scars) that we’ve had while tuning Cassandra to perform well in MediaMath’s Data Management Platform. Fast reads on time series data We use Cassandra as the backend data store for our Data Management Platform (DMP) system here at MediaMath. DMPs are used by advertisers to store their first party data as well as third party data segments they buy so that they can deploy these to bid on ad opportunities targeted audiences. This requires hardware that can handle extremely large volumes of data and then search them very quickly. We chose to […]
Thousands of software developers, full-stack engineers, consultants and systems architects flocked to Dublin, Ireland this last April for the 2016 Hadoop Summit. Hosted by Hortonworks – a major Apache Hadoop distributors – and Yahoo, the Hadoop Summit was home to 3 full days packed with Hadoop and big data innovations – straight from the elephant’s mouth. The first day featured our own Prasad Chalasani, SVP of Data Science at MediaMath, and his talk on Fast Distributed Online Classification and Clustering. He outlines how he and Ram Sriharsha at Databricks leveraged recent machine-learning research to develop a fast, practical, scalable, online, distributed, […]