What are some use cases for Kappa architecture?
Kappa architecture is great for real-time data processing. Common use cases include stream processing, event sourcing, and real-time analytics.
Can you explain how it differs from Lambda architecture?
Sure! Kappa architecture simplifies the data processing pipeline by using a single stream processing layer, while Lambda architecture has both batch and stream processing layers.
What industries benefit the most from Kappa architecture?
Industries like finance, e-commerce, and IoT benefit significantly due to their need for real-time data insights and quick decision-making.
Are there any specific tools or technologies associated with Kappa architecture?
Yes, tools like Apache Kafka, Apache Flink, and Apache Pulsar are commonly used in Kappa architecture for handling real-time data streams.
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