DATE CHANGE
Please note that the date of this meetup has changed. Unfortunately because of scheduling conflicts we have to postpone the meetup until April.
*** Presentations ***
Talk 1: High cardinality aggregations using Spark and Druid
Abstract:
Unity's monetization business generates billions of in-game events in a multi-sided marketplace, which creates complexity, slowness, and overhead for reporting. To work around these issues, Unity deploys a Kafka, Spark, and Druid based ingestion and aggregation pipeline. In this talk, we'll be discussing how Unity has built a high-cardinality data cube that allows for various business, product, and engineering groups to evaluate and act on the same data source.
Speaker: Mehdi Asefi, Unity Technologies
Mehdi Asefi Completed his MS and PhD from the University of Waterloo, Canada in Electrical and Computer Engineering. He has been working on a range of problems in big data, machine learning and data science in startups, midsize and large size companies. Prior joining Unity Technologies, Mehdi was part of personalization team at Yahoo working on building machine learning pipelines for Yahoo home page. Currently, Mehdi is technical lead for ads monetization data team working on designing and building various pipelines which feed data science model training and business reports.
