What are the best practices for Kappa architecture?
Kappa architecture emphasizes real-time data processing. Key practices include using a single data pipeline, ensuring data immutability, and leveraging stream processing frameworks.
Can you explain why data immutability is important?
Data immutability ensures that once data is written, it cannot be changed. This simplifies debugging and enhances data integrity.
What stream processing frameworks do you recommend?
Popular frameworks include Apache Kafka, Apache Flink, and Apache Spark Streaming. Each has its strengths depending on your use case.
How does Kappa architecture differ from Lambda architecture?
Kappa architecture focuses solely on stream processing, while Lambda architecture combines batch and stream processing, which can complicate the system.
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