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Current Sessions | 3 Lessons We Learned Running Stateful Streaming Pipelines with Apache Flink and Kafka

At Bloomberg, we deal with tremendously high volumes of data. Financial markets move significantly from millisecond to millisecond. Clients must react to these immense amounts of market data and trust Bloomberg to synthesize and analyze the information in real time.



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Current Sessions | 3 Lessons We Learned Running Stateful Streaming Pipelines with Apache Flink and Kafka

https://current.confluent.io/2024-sessions/3-lessons-we-learned-running-stateful-streaming-pipelines-with-apache-flink-and-kafka

At Bloomberg, we deal with tremendously high volumes of data. Financial markets move significantly from millisecond to millisecond. Clients must react to these immense amounts of market data and trust Bloomberg to synthesize and analyze the information in real time.



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Current Sessions | 3 Lessons We Learned Running Stateful Streaming Pipelines with Apache Flink and Kafka

At Bloomberg, we deal with tremendously high volumes of data. Financial markets move significantly from millisecond to millisecond. Clients must react to these immense amounts of market data and trust Bloomberg to synthesize and analyze the information in real time.

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      Current Sessions | 3 Lessons We Learned Running Stateful Streaming Pipelines with Apache Flink and Kafka
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