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System Design Series: Apache Flink from 10,000 Feet, and Building a Flink-powered Recommendation Engine | Towards Data Science

Towards Data Science·Sanil Khurana·about 1 month ago
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, I’ve had Apache Flink on my “things I really need to understand properly” list. I’d seen it mentioned alongside Kafka, heard it come up in conversations about real-time pipelines, and sort-of understood the use case. But I’d never actually sat down and learned it properly. If you feel the same way, you’re in good company. There’s good reason to learn about Flink, it’s one of the most popular tools in software engineering right now. Netflix uses it for near-real-time anomaly detection in their streaming infrastructure. Alibaba reportedly runs one of the largest Flink deployments in the world — processing hundreds of billions of events per day across tens of thousands of machines. Uber built their analytical platform around it. Flink has become the backbone of how some of the most data-intensive companies in the world process information as it happens. So if Flink has been on your list too, this is a good time to actually understand it. So I dove in.…

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