1、Building&Operating High-Fidelity Data Streams Migrating Netflixs Viewing History from Synchronous Request-Response to Async EventsStreaming-First Infrastructure for Real-Time Machine LearningFACILITATING THE SPREAD OF KNOWLEDGE AND INNOVATION IN PROFESSIONAL SOFTWARE DEVELOPMENTModern Data Architect

2、ures,Pipelines,&Streams The InfoQ eMag/Issue#105/October 2022 GENERAL FEEDBACK Modern Data Modern Data Architectures,Architectures,Pipelines,&Pipelines,&StreamsStreamsIN THIS ISSUEInfoQInfoQ InfoQInfoQBuilding&Operating High-Fidelity Data Streams0616Migrating Netflixs Viewing History from Synchronou

3、s Request-Response to Async EventsPRODUCTION EDITOR Ana Ciobotaru/COPY EDITORS Maureen Spencer DESIGN Dragos Balasoiu/Ana CiobotaruStreaming-First Infrastructure for Real-Time Machine Learning 2330Building End-to-End Field Level Lineage for Modern Data Systems Sharma Podilais Software Engineering le

4、ader,system builder,collaborator,mentor.He has deep expertise in cloud resource management,distributed systems,data infrastructure,and proven track record of delivering impactful large scale distributed systems of cross functional scope.Sid Anandcurrently serves as the Chief Architect and Head of En

5、gineering for Datazoom,where he and his team build autonomous streaming data systems for Datazooms high-fidelity,low latency streaming analytics needs.Prior Sid served as PayPals Chief Data Engineer,focusing on ways to realize the value of PayPals hundreds of petabytes of data.He also held several p

6、ositions including Agaris Data Architect,a Technical Lead in Search LinkedIn,Netflixs Cloud Data Architect,Etsys VP of Engineering,and several technical roles at eBay.Sid earned his BS and MS degrees in CS from Cornell University.Xuanzi Hanis a senior back-end engineer at Monte Carlo,a data reliabil