< session />
Kafka Streams and KSQLDB
Wed, 24 April, 5:40 PM - 6:40 PM GMT+5:30
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
< speaker_info />
About the speaker
Daniel Hinojosa
Independent Consultant, EvolutionNext
Daniel Hinojosa has been a self-employed developer, teacher and speaker for private business, education, and government since 1999. He is passionate about languages, frameworks and programming education. Daniel is a Pomodoro Technique practitioner and is co-founder of the Albuquerque Java User's Group in Albuquerque, New Mexico.
