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In this video, an expert in data engineering discusses building a near real-time data ingestion pipeline for Netflix clickstream and playback data. The focus is on key metrics like customer churn and path analysis, with insights into using technologies like Kafka, Spark, and NoSQL databases. The video also covers the importance of scalable, time-sensitive data processing and touches on trade-offs in data storage and system design.
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Chapters -
00:00 - Intro
01:15 - Data pipeline for Netflix metrics monitoring
05:52 - Path analysis and playback insights
09:42 - Product insights and pipeline design overview
12:31 - Netflix’s user distribution and metrics
16:51 - Netflix’s scalability: Up to 50,000 users per second
25:13 - Spark streaming, Kafka, Flink, data lake
28:08 - Kafka vs Data lakes for analytics
30:16 - NoSQL database performance
37:41 - Big data pipeline design principles
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