Whilst discussing data inputs with our Glasgow based developers, you will often be told certain operations will need to be batch processed. So, what is batch processing?
Just like the name suggests, when you batch process data, the server will simply process the data in batches of jobs. These jobs are often simultaneously, in non-stop, sequential order.
Batch processing also ensures large jobs are broken up into small jobs for efficiency whilst data debugging or even cleansing.
Another term for batch processing is: Workload Automation (WLA) or Job Scheduling.
Here at Tentacle, we like to look at batch processing as, in programming terms, a lot more sophisticated and efficient. For many of our projects, it has become a necessity. One of the major plus points is the complete lack of user interaction. This means our developers can remove the human element and thus the human errors that go with those operations.
Ultimately this is what makes batch processing so successful and efficient for Tentacle developers.
Batch processing can also be used for exception-based management alerts. This means users can be notified when there are issues. The idea is that users will not need to check certain processes unless they receive a batch processed alert.
The advantages of batch processing are:
- Offline features
- Hands-off management