Introduction to Stateful Stream Processing with Apache Flink (Confluent) | Current 2025

Stream Processing has evolved quickly in a short time: only a few years ago, it was mostly simple real-time aggregations with limited throughput and consistency. Today, many stream processing applications have sophisticated business logic, strict correctness guarantees, high performance, low latency, and maintain terabytes of state without databases. Stream processing frameworks also abstract a lot of the low-level details away, such as routing the data streams, taking care of concurrent executions, and handling various failure scenarios while ensuring correctness. – CONNECT Subscribe, if you dare: https://www.youtube.com/@ConfluentDeveloper?sub_confirmation=1 Community Slack: https://confluentcommunity.slack.com X: https://x.com/confluentinc Linkedin: https://www.linkedin.com/company/confluent GitHub: https://github.com/confluentinc Site: https://developer.confluent.io ABOUT CONFLUENT DEVELOPER Confluent Developer provides comprehensive resources for developers looking to learn about Apache Kafka®, Apache Flink®, Confluent Cloud, Confluent Platform, and any other technology related to the broader Data Streaming Platform. Content on Confluent Developer includes courses, getting started guides, topical deep-dives, patterns, tutorials, and listings of community events. Learn more at https://developer.confluent.io. #current2025 #apachekafka #apacheflink #confluent