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Rec Room 如何使用 Databricks 和 RudderStack 每天处理数十亿个事件.pdf

上传人: 2*** 编号:139021 2023-06-04 27页 3.35MB

1、Rec Room RudderStackHow Rec Room Processes Billions of Events Per Day with Databricks and RudderStackDatabricks2023Albert HuSenior Analytics EngineerRec RoomLewis MbaeHead of Customer EngineeringRudderStackAbout Rec Room Rec Room is the best place to build and play games together.With more than 80M

2、lifetime users,you can party up with friends from all around the world to play,hang out,explore MILLIONS of player-created rooms,or build something new!Founded in 2016More Users,More DataMaking Impact with Data at Rec RoomData-driven culture powered by high data volume and quick adoptionA/B Test as

3、many decisions and features as possibleRecommend new,interesting rooms and items to playersShare metrics with Creators to help grow their player baseRec Rooms Data ChallengesDisparate data sourcesDisparate data destinationsMultiple environmentsdevprodamplitudefacebookazure event hubs webhookflutterd

4、atabricks150+experiments launched as of Q2 2023 Started A/B testing March 2022One A/B test,big impactFrom a negative to positive 25%change in chat messages between playersChat Messages RudderStack is the leading lakehouse native customer data platform.RudderStack runs on top of your lakehouse and do

5、es not store data,alleviating security concerns,reducing costs,and unlocking the value of your lakehouse investment Founded in 2019About RudderStack10The Data Activation LifecycleRec Room Data ArchitectureEvent StreamDatabricks Unity CatalogEvent StreamSourcesCloud ToolsReverse ETL dbt ModelingWhat

6、is RudderStack Transformations?12Transformations lets users customize event data in real-time using JavaScript or Python.Benefits:Guarantee high quality dataSecure and build data trustQuickly adapt to new business needsSourcesDestinationsTransformationsHow Rec Room uses TransformationsFiltering even

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Rec Room是一个在线游戏平台,拥有超过8000万用户,每天处理数十亿个事件。面临数据挑战,包括数据源和目的地的多样性,以及多个环境中的数据处理问题。他们从2022年开始使用RudderStack进行A/B测试,一个测试就带来了玩家之间聊天消息数量从负到正25%的变化。RudderStack是一个湖仓native客户数据平台,运行在湖仓之上,不存储数据,减轻了安全担忧,降低了成本,并释放了湖仓投资的价值。RudderStack的清洁湖仓数据模型使得数据处理变得容易。他们使用Medallion数据架构来支持多种用例,并建议选择合适的计算资源来优化成本。RudderStack + Databricks为Rec Room带来了统一的数据堆栈,为用户体验A/B测试提供了产品洞察和用户偏好数据,使工程团队能够更多地关注产品特性,而减少解决集成问题的 时间。
"Rec Room如何处理每天数十亿的事件?" "RudderStack如何助力Rec Room实现数据驱动的文化?" "Rec Room与RudderStack合作的未来计划是什么?"
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