Video is everything at Viacom. They build their own video players on iOS, Android and web platforms, and they have to know how those players are performing so they track critical metrics in near real-time with Apache Kafka, Spark and the Databricks platform.
In this session, Viacom will share how a quick proof of concept turned into a system that is giving them real insights into their video player performance. They will also discuss investigating platforms like Druid for fast slicing and dicing of data for business-oriented users.
One of the key takeaways is learning how, as engineers, we should work to drive value through technology, even if we work for a company that may not be tech first. Also, the data you collect can be a distraction, so create focus. Lastly, different users require different interfaces into the same data; learn how Viacom made that happen through technology, even if we work for a company that may not be tech first.
— The data you collect can be a distraction so create focus.
— Different users require different interfaces into the same data. We’ll talk about how we made that happen.
Session hashtag: #SFent9
Mark is head of the Web Application Engineering team for Viacom in NYC where he leads engineers building tools and components for Viacom’s public facing sites and apps. This includes video players, content management system front-end, APIs, and, of course our real-time data collection system.
Mike is head of the backend engineering team at Viacom and leads the charge on our realtime data collection system for analyzing our Video Performance metrics.