What are some use cases for Kappa architecture?
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What are some use cases for Kappa architecture?
Kappa architecture is often used in real-time data processing applications. Some common use cases include stream processing for IoT data, real-time analytics for financial transactions, and event-driven applications in e-commerce.
Can you explain how it differs from Lambda architecture?
Certainly! Kappa architecture simplifies the data processing pipeline by using a single stream processing layer, whereas Lambda architecture has both batch and stream processing layers. This makes Kappa easier to manage and scale.
What technologies are commonly used with Kappa architecture?
Common technologies include Apache Kafka for data streaming, Apache Flink or Apache Spark for stream processing, and NoSQL databases like Cassandra for storage.
Are there any limitations to using Kappa architecture?
Yes, some limitations include the complexity of managing stateful stream processing and the potential challenges in handling late-arriving data.
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