What are Kafka Streams and how do they work?
An example of an AI chatbot conversation about Kafka Streams, a stream processing library.
What are Kafka Streams and how do they work?
Kafka Streams is a client library for building applications and microservices, where the input and output data are stored in Kafka clusters. It allows for real-time processing of data streams.
Can you explain the main components of Kafka Streams?
Sure! The main components include Streams, Tables, and Processors. Streams represent continuous data flows, Tables represent stateful data, and Processors perform operations on these streams.
What are some use cases for Kafka Streams?
Common use cases include real-time analytics, monitoring, data transformation, and building event-driven applications.
How does Kafka Streams handle fault tolerance?
Kafka Streams provides fault tolerance by leveraging Kafka's replication and partitioning features, ensuring that data is not lost and can be processed reliably.
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