Learn how versioned key-value state stores, introduced to Kafka Streams in 3.5, enhance stateful processing capabilities by allowing users to store multiple record versions per key.
Discover how Sumit Pal, former Gartner VP Research Analyst, thinks modern enterprises should use real-time streaming data and data streaming platforms to drive business value and stay several steps ahead of their competitors.
Learn why stream processing is such a critical component of the data streaming stack, why developers are choosing Flink, and how to use Flink with Kafka.
Learn why Confluent Cloud has chosen Let’s Encrypt as its Certificate Authority and how it leverages its automation features to spend less time managing certificates and more time building private networking features.
Missed out on Camp Confluent? Find out what went down at the hottest tech camp of the season—a three-week immersive learning experience focused on all things data streaming.
Our Financial Services Competency from AWS highlights Confluent's Includes specialized workloads related to the financial services industry specialization held by Confluent.
Read this blog post to explore the challenges of increasing maturity of data streaming in your organization—and five ways to overcome those challenges.
Java and non-Java producers use different partitioners by default and that can lead to mismatches and data inconsistencies when developing streaming applications. Learn how to address this in Apache Kafka.