Abstract：GoPro’s camera, drone, mobile devices as well as web, desktop applications are generating billions of event logs. The analytics metrics and insights that inform product, engineering, and marketing team decisions need to be distributed quickly and efficiently. We need to visualize the metrics to find the trends or anomalies.
While building up the features store for machine, we need to visualize the features, Google Facets is an excellent project for visualizing features. But can we visualize larger feature dataset?
These are issues we encounter at GoPro as part of the Data Platform evolution. In this talk, we will discuss few of the progress we made at GoPro. We will talk about how to use Slack + Plot.ly to delivery analytics metrics and visualization. And we will also discuss our work to visualize large feature set using Google Facets with Apache Spark.
Bio ：Chester is the Head of Data Science & Engineering at GoPro. Before join GoPro, Chester was the Director of Engineering of Alpine Data Labs, a machine learning startup that provide analytics platform for Fortune 500 companies. He is also the founder and organizer of SF Big Analytics meetup, with 6900+ members. Previously, he holds various positions at Symantec, Ascent Media and many other companies. He has given talks in SF Scala Meetup, Big Data Scala, Hadoop Summit and IEEE Big Data Confere