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Build real-time data architectures
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Transform, analyze, and act on real-time data
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Real-time, context-aware AI
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Stream smarter with our fully managed, cloud-native Apache Kafka® service
Run and manage our complete data streaming platform on-premises
Bridge on-premise control with the automation of a cloud service
Deploy a Kafka-compatible data streaming platform in your private cloud
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Use cases
Build RAG and agentic AI use cases with real-time, contextual and trustworthy data
Migrate your data and infrastructure from any Kafka source, on your terms
Learn to build event-driven microservices applications with data streaming
Control telemetry before it reaches your observability tools
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Deployment Options
Kafkaプロジェクトが失敗する一般的な6つの原因とConfluentが求められる理由
デジタル化の急激な進展により、ストリーミングデータはIT業界において重要な地位を占めるようになりました。 Apache Kafka はフォーチュン100企業の80%以上で使用されている一方、Kafkaプロジェクトが失敗してしまう企業のあることも避け難い事実です。 本セッションでは、Kafkaプロジェクトが失敗する一般的な6つの原因を探りながら、Confluentが求められるその理由をお伝えいたします。