What are the differences between batching and streaming data processing?

What are the differences between batching and streaming data processing?

Batching processes data in groups at scheduled intervals, while streaming processes data in real-time as it arrives.

Can you give me an example of when to use batching?

Sure! Batching is ideal for processing large datasets, like monthly sales reports, where real-time data isn't critical.

And when would streaming be more beneficial?

Streaming is beneficial for applications like fraud detection, where immediate analysis of transactions is crucial.

What are the advantages of each method?

Batching is efficient for large volumes, while streaming offers real-time insights, making it suitable for dynamic environments.