Apache Kafka Fundamentals: The Concept of Streams and Tables ft. Michael Noll
- Transcript
- Notes
If you’ve ever wondered what Apache Kafka® is, what it’s used for, or wanted to learn about Kafka architecture and all its components, buckle up! In today’s episode, Michael Noll (Principal Technologist, Confluent) and Tim Berglund (Senior Director of Developer Advocacy, Confluent) discuss a series of fundamental questions: What is Kafka? What is an event? How do we organize and store events? And what is Kafka Streams?
Over the course of this episode, Michael covers an in-depth look into Kafka technology and core concepts: the process of reading from a topic, differences between tables and streams, mutability, and what ksqlDB is and what its event streaming database features accomplish. If you've ever wanted to get a better grasp on how Kafka works, this episode is for you!
EPISODE LINKS
- Streams and Tables in Apache Kafka: A Primer
- Streams and Tables in Apache Kafka: Topics, Partitions, and Storage Fundamentals
- Streams and Tables in Apache Kafka: Processing Fundamentals with Kafka Streams and ksqlDB
- Streams and Tables in Apache Kafka: Elasticity, Fault Tolerance, and other Advanced Concepts
- Browse the Confluent Hub
- Join the Confluent Community Slack
- Learn more with Kafka tutorials, resources, and guides at Confluent Developer
Got questions?
If there's something you want to know about Apache Kafka, Confluent or event streaming, please send us an email with your question and we'll hope to answer it on the next episode of Ask Confluent.
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