What are the best practices in Kappa architecture?
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What are the best practices in Kappa architecture?
Kappa architecture focuses on real-time data processing. Best practices include using a single stream processing layer, ensuring data immutability, and implementing effective monitoring.
Can you explain why data immutability is important?
Data immutability ensures that once data is written, it cannot be changed. This helps maintain consistency and simplifies debugging.
What tools are commonly used in Kappa architecture?
Common tools include Apache Kafka for data streaming, Apache Flink or Apache Spark for processing, and NoSQL databases for storage.
How does Kappa architecture compare to Lambda architecture?
Kappa architecture simplifies the Lambda model by using a single processing layer for both batch and stream data, reducing complexity.
What are some challenges when implementing Kappa architecture?
Challenges include managing stateful processing, ensuring data quality, and handling system failures effectively.
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