What are some use cases for Lambda architecture?
Lambda architecture is great for big data processing, real-time analytics, and batch processing. Some use cases include data lakes, fraud detection, and recommendation systems.
Can you explain how it works in a data lake scenario?
In a data lake, Lambda architecture allows for both batch and real-time data processing. Batch jobs can process large datasets periodically, while real-time processing can handle streaming data for immediate insights.
What technologies are commonly used in Lambda architecture?
Common technologies include Apache Hadoop for batch processing, Apache Spark for real-time analytics, and tools like Kafka for data streaming.
Are there any drawbacks to using Lambda architecture?
Yes, it can be complex to implement and maintain due to the need for both batch and real-time processing systems.
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