Work with topics
Using Apache Kafka and Confluent CLIs to produce and consume events
Learn stream processing the simple way. Use this cookbook of recipes to easily get started at any level.
Using Apache Kafka and Confluent CLIs to produce and consume events
Kafka tools and connectors for Confluent Cloud
Deciding where to send events, splitting, merging, and filtering streams
Deriving transformed and enriched data streams
Implementing stateful aggregations on events
Explore the Python Table API on Confluent Cloud for Apache Flink
Explore the Java Table API on Confluent Cloud for Apache Flink
Deciding where to send events, splitting, merging, and filtering streams
Working with streams, tables, data formats, and other event-processing operations
Implementing stateful operations on events
Combining data from two or more sources based on common keys
Putting stateful operations results into groups based on time
Miscellaneous Kafka Streams tutorials
Deciding where to send events, splitting, merging, and filtering streams
Working with streams, tables, data formats, and other event-processing operations
Implementing stateful operations on events
Stateful operations based on time
Combining data from two or more sources based on a common key
Additional advanced topics
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To try any of these out, make sure you first sign up for Confluent Cloud.