What are some examples of data pipeline architectures?
There are several common data pipeline architectures, such as batch processing, stream processing, and lambda architecture. Would you like to know more about a specific one?
Can you explain the lambda architecture?
Sure! The lambda architecture combines batch and stream processing to provide a comprehensive view of data. It consists of three layers: the batch layer, the speed layer, and the serving layer.
What are the benefits of using a lambda architecture?
The benefits include real-time data processing, fault tolerance, and the ability to handle large volumes of data efficiently.
Are there any drawbacks to this architecture?
Yes, some drawbacks include increased complexity and the need for more resources to manage both batch and stream processing.
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