In this blog post, I will share a proof of concept for real-time attribution using Apache Flink from streaming data sources of impressions and events, and how we handled some of the specific problems inherent in windowing and processing real-time data streams at scale. Our goal was to determine if we could use Flink to stream impression and event data so that we could determine attribution in real time in order to optimize advertising strategies immediately. In digital advertising, we refer to ads – whether they are served on social networks, Mobile, Video, or display – as impressions. Once the […]
Vishnu Viswanath was a Data Engineer Intern at MediaMath over the 2016 Summer. During his tenure in MediaMath, he spent his time building real-time stream processing systems using Apache Flink, which also gave him the opportunity to contribute to Flink. Vishnu likes to keep himself up to date with the technologies in vogue and enjoys venturing deep into big data stack. He will be returning to Bradley University to complete his Masters in Computer Science with a concentration in Data Analytics.