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Kafka 101
- Console producer and consumer basics
- Console producer and consumer basics with Confluent Cloud
- Console consumer with primitive keys and values
- Idempotent producer for message ordering and no duplication
- Avro console producer and consumer
- Change the number of partitions and replicas of a Kafka topic
- Console consumer reads from a specific offset and partition
- Produce and consume messages with clients in multiple languages
- Build your first Kafka producer application
- Using Callbacks to handle Kafka producer responses
- Build your first Kafka consumer application
- Count the number of messages in a Kafka topic
Apply a function to data.
- Masking data
- Working with nested JSON
- Working with heterogenous JSON
- Concatenation
- Convert a stream's serialization format
- Scheduling operations in Kafka Streams
- Transform a stream of events
- Flatten deeply nested events
- Filter a stream of events
- Rekey a stream with a value
- Rekey a stream with a function
- Split a stream of events into substreams
- Merge many streams into one stream
- Find distinct events
- Apply a custom, user-defined function
- Handle deserialization errors
- Choose the output topic dynamically
- Name stateful operations
- Convert a KStream to a KTable
- Calculate the difference between two columns
Join data.
Collect data over time.
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