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Answer: All of the above.
When designing a data pipeline for real-time data processing, it is important to consider the latency of the pipeline to ensure timely processing of data, the ability to handle high throughput and low latency, and the use of stream processing technologies to process data in real-time. This ensures that the pipeline can efficiently process data as it arrives. Option A is correct because latency is crucial for real-time processing. Option B is correct because high throughput and low latency are essential for real-time processing. Option C is correct because stream processing technologies are designed for real-time data processing.
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You are working on a project that requires creating data pipelines to move and process data. You have been asked to create a data pipeline that can handle real-time data processing. What considerations should you take into account when designing a data pipeline for real-time data processing?
A
The latency of the pipeline to ensure timely processing of data.
B
The ability to handle high throughput and low latency.
C
The use of stream processing technologies to process data in real-time.
D
All of the above.
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