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Shuyi Chen, Senior Software Engineer at Uber, presented his talk on " Video with transcript included on InfoQ: Allen Wang discusses the design of the Batch-oriented systems have done the heavy lifting in data-intensive applications for decades, but they do not reflect the ... Request a software demo of this solution for your mobile app @ Dive into the world of streaming data architecture and learn how to build Two years ago, Doordash started the journey of creating a
Ever wondered how Uber shows you live driver density on a heatmap, while also letting their operations team analyze hourly ...
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From Zero to a Hundred Billion: Building Scalable Real-Time Event Processing at DoorDash
Scalable Stream Processing: A Survey of Storm, Samza, Spark and Flink by Felix Gessert
Complex Event Processing Made Easy with Cassandra and Quine Streaming G... Ethan Bell & Aaron Ploetz
Real-Time Complex Event Processing: How To Be The Smartest App In Town | Pulsate Academy
Scalable real-time data processing with Apache Samza
🔥 Streaming Data Architecture: Build Real-Time Systems with Kafka & Stream Processing
Scalable Real Time Streaming with High Performance NoSQL SQL Queues, 60East CEO Jeffrey Birnbaum
SFBigAnalytics_20220920: DoorDash: Building Scalable Real Time Event Processing with Kafka and Flink
Real-Time Analytics System Design | Uber Heatmaps (Streaming, Data Lakes & Event Processing)
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Last Updated: June 13, 2026
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