What are the benefits of using a Lambda architecture for scalability?
An example of an AI chatbot conversation about scalability in Lambda architecture.
What are the benefits of using a Lambda architecture for scalability?
Lambda architecture allows for scalable data processing by combining batch and real-time processing, ensuring high throughput.
How does it handle large volumes of data?
It separates data processing into layers: the batch layer for historical data and the speed layer for real-time data, optimizing performance.
Are there any drawbacks to using Lambda architecture?
Yes, it can be complex to implement and maintain due to the need for multiple processing layers and potential data consistency issues.
Can you give an example of a use case?
Sure! A common use case is in big data analytics, where companies analyze large datasets in real-time while also processing historical data.
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