TLDR Tech / Data
Next Generation DB Ingestion at Pinterest
Pinterest replaced a legacy batch-based database ingestion pipeline with a unified, CDC-based streaming system. Using Debezium/TiCDC for change capture, Kafka for streaming, Flink/Spark for processing, and Iceberg tables with bucketing, bucket joins, and merge-on-read optimizations, its team delivered 15-minute to 1-hour end-to-end latencies, true incremental updates with deletions, at-least-once semantics, and 40% compute cost reduction.
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