Work with topics
Using Apache Kafka and Confluent CLIs to produce and consume events
Apache Kafka® and Apache Flink® Tutorials
Learn stream processing the simple way. Use this cookbook of recipes to easily get started at any level.
Kafka
Confluent Cloud tools
Kafka tools and connectors for Confluent Cloud
Flink
Flink SQL Routing & Filtering
Deciding where to send events, splitting, merging, and filtering streams
Flink SQL Manipulating & Enriching Streams
Deriving transformed and enriched data streams
Flink SQL Aggregations
Implementing stateful aggregations on events
Flink Table API (Python)
Explore the Python Table API on Confluent Cloud for Apache Flink
Flink Table API (Java)
Explore the Java Table API on Confluent Cloud for Apache Flink
Kafka Streams
Routing
Deciding where to send events, splitting, merging, and filtering streams
Transforming
Working with streams, tables, data formats, and other event-processing operations
Aggregations
Implementing stateful operations on events
Joins
Combining data from two or more sources based on common keys
Windowing and time operations
Putting stateful operations results into groups based on time
Miscellaneous
Miscellaneous Kafka Streams tutorials
ksqlDB
Routing
Deciding where to send events, splitting, merging, and filtering streams
Transforming
Working with streams, tables, data formats, and other event-processing operations
Aggregations
Implementing stateful operations on events
Windowing and time operations
Stateful operations based on time
Joins
Combining data from two or more sources based on a common key
Miscellaneous
Additional advanced topics
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