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Kafka Streams and KSQLDB
Originally aired:
About the Session
Kafka is more than just a messaging queue with storage. It goes beyond that, and with technology from Confluent open source, it has become a full-fledged data ETL and data streaming ecosystem. When we utter the words, Kafka, it is no longer just one component but can be an entire data pipeline ecosystem to transform and enrich data from source to sink. It offers different ways to handle that data as well. In this presentation, we define:
- Streaming Concepts
- Using functional programming to manipulate your data
- Co-partitioning
- Aggregations
We then discuss KSQLDB. A SQL layer built upon Kafka Streams that provides a simple query
language to perform streaming operations:
- Persistent Queries
- Non-Persistent Queries
- Fault-Tolerance
Kafka Streams and KSQLDB
Originally aired:
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