What is Kappa Architecture and how do I implement it?
An example of an AI chatbot conversation about implementing Kappa Architecture in data systems.
What is Kappa Architecture and how do I implement it?
Kappa Architecture is a data processing architecture that simplifies the data pipeline by using a single stream processing model. It allows for real-time data processing and is often used in scenarios where low-latency data access is crucial.
What are the main components of Kappa Architecture?
The main components include a stream processing engine, a storage system for immutable data, and a serving layer for querying the processed data.
Can you give me an example of a technology stack for Kappa Architecture?
Sure! A common stack might include Apache Kafka for streaming, Apache Flink or Apache Spark for processing, and a NoSQL database like Cassandra for storage.
What are the advantages of using Kappa Architecture over Lambda Architecture?
Kappa Architecture simplifies the data processing pipeline by eliminating the need for batch processing, reducing complexity and maintenance overhead.
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