What is Lambda Architecture in data processing?
An example of an AI chatbot conversation about Lambda Architecture in data processing.
What is Lambda Architecture in data processing?
Lambda Architecture is a data processing architecture designed to handle massive quantities of data by using both batch and stream processing.
Can you explain the components of Lambda Architecture?
Sure! Lambda Architecture consists of three layers: the Batch Layer, the Speed Layer, and the Serving Layer.
What are the advantages of using Lambda Architecture?
The main advantages include fault tolerance, scalability, and the ability to process both real-time and historical data.
Are there any drawbacks to Lambda Architecture?
Yes, it can be complex to implement and maintain, and it may require more resources compared to simpler architectures.
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