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Audacy Elevates Real-Time Listener Engagement With Confluent’s Data Streaming Platform
Learn how Audacy, a leading multi-platform audio content company, transformed its operations with Confluent’s real-time data streaming platform, delivering personalized audio experiences to 200 million listeners.
By moving from complex point-to-point systems to a seamless data streaming architecture, Audacy has streamlined operations and can now focus on delivering the personalized content, dynamic advertising, and data-driven insights they need to stay ahead in a demanding market.
Explore how Audacy is powering their vision for the future of audio content and achieving amazing results with real-time data streaming, including:
• Cutting time-to-market for new features by 66%
• Tripling the number of new features released per year
• Boosting listener engagement and unlocking new revenue streams
#confluent #apachekafka #kafka
Видео Audacy Elevates Real-Time Listener Engagement With Confluent’s Data Streaming Platform канала Confluent
By moving from complex point-to-point systems to a seamless data streaming architecture, Audacy has streamlined operations and can now focus on delivering the personalized content, dynamic advertising, and data-driven insights they need to stay ahead in a demanding market.
Explore how Audacy is powering their vision for the future of audio content and achieving amazing results with real-time data streaming, including:
• Cutting time-to-market for new features by 66%
• Tripling the number of new features released per year
• Boosting listener engagement and unlocking new revenue streams
#confluent #apachekafka #kafka
Видео Audacy Elevates Real-Time Listener Engagement With Confluent’s Data Streaming Platform канала Confluent
confluent apache kafka streams logs hadoop free open source streaming platform applications apps real-time processing data Multi-Datacenter monitoring developers operations ops java .net messaging queue distributed commit fault-tolerant publish subscribe pipelines Flink data streaming data in motion
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1 февраля 2025 г. 2:26:08
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