
Shobha
The best way to predict the future is to invent it
What are the main differences between batch processing and real-time processing in data analytics?
There are main differences between batch processing and real-time processing as follows:
Batch Processing: Handles large data sets at scheduled intervals, suitable for non-urgent tasks like reports.For example,Processing monthly sales figures.
Real-Time Processing: Processes data as it arrives, ideal for immediate actions like fraud detection.For example,Monitoring financial transactions to detect fraud.
Batch Processing: Handles large data sets at scheduled intervals, suitable for non-urgent tasks like reports.For example,Processing monthly sales figures.
Real-Time Processing: Processes data as it arrives, ideal for immediate actions like fraud detection.For example,Monitoring financial transactions to detect fraud.