[Webinaire de démonstration] Prêt(e) à dire au revoir à ZooKeeper ? Rencontrez KRaft ! | Inscrivez-vous dès maintenant

Webinaires avec Confluent

Fondé par les créateurs originaux d'Apache Kafka, Confluent propose un large éventail de discussions avec des technologues et des experts du secteur éminents.

Webinaires à venir

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Ready to break up with ZooKeeper? KRaft, you had me at hello

In this webinar, we will walk you through two product demos to ensure you’re ready for ZooKeeper-less Kafka: one on how to get started with KRaft and the second on how to migrate to KRaft from an existing deployment.

7 Common Apache Kafka Mistakes and How to Solve Them

Avoid common Apache Kafka® pitfalls that impact performance, reliability, and scalability. Join our webinar to uncover the 7 most frequent mistakes practitioners make—and learn best practices to keep your data streaming smooth and efficient.

Unleashing Real-Time AI-Powered Innovation with Confluent and Microsoft Azure

Join us for this exclusive webinar to discover how Confluent’s Data Streaming Platform and Microsoft Azure create a powerful, scalable AI ecosystem—allowing businesses to stream, process, govern and analyze data in real time to drive AI-powered insights, automation, and innovation.

AI-Powered Personalization with Oracle XStream CDC Connector

Explore a demo of the Oracle XStream CDC Source Connector—a high-performance solution that transforms your approach to real-time AI personalization. Stream database changes faster, build AI engines that respond instantly to customer interactions, and set up multi-channel experiences in real time.

Bring Enterprise-grade Data Streaming to Your Product or Service

Discover how MSPs and ISVs can leverage Confluent’s data streaming platform with unified Apache Kafka® and Apache Flink® to unlock immense customer growth with minimal investment and risk.

Ready to break up with ZooKeeper? KRaft, you had me at hello

In this webinar, we will walk you through two product demos to ensure you’re ready for ZooKeeper-less Kafka: one on how to get started with KRaft and the second on how to migrate to KRaft from an existing deployment.

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