Self Service Analytics at Twitch
As Twitch grew, both the amount of data we received and the number of employees interested in the data grew rapidly. In order to continue empowering decision making as we scaled, we turned to using Druid and Imply to provide self service analytics to both our technical and non technical staff allowing them to drill into high level metrics in lieu of reading generated reports.
In this talk, learn how Twitch implemented a common analytics platform for the needs of many different teams supporting hundreds of users, thousands of queries, and ~5 billion events each day. This session will explain our Druid architecture in detail, including:
-The end-to-end architecture deployed on Amazon that includes Kinesis, RDS, S3, Druid, Pivot and Tableau
-How the data is brought together to deliver a unified view of live customer engagement and historical trends
-Operational best practices we learnt scaling Druid
-An example walk through using the platform
Imply transforms how businesses run by integrating real-time analytics into their operations. Founded by the authors of the Apache Druid database, Imply provides a cloud-native solution that delivers real-time ingestion, interactive ad-hoc queries, and intuitive visualizations for many types of event-driven and streaming data flows. Imply has operations in North America, Europe, and Asia Pacific and is backed by Andreesen Horowitz, Khosla Ventures, and Geodesic Capital.
Connect
Website: https://imply.io/
Linkedin: / imply
Twitter: / implydata
Github: https://github.com/implydata
Slideshare: https://www.slideshare.net/implydata