Batch Processing
Processing multiple items or transactions together as a group, typically scheduled for off-peak times.
In-Depth Explanation
Batch processing handles multiple items together as a batch rather than individually in real-time. It's efficient for high-volume, non-time-sensitive processing.
Batch characteristics:
- Grouped: Many items processed together
- Scheduled: Runs at defined times
- Efficient: Optimised for throughput
- Non-real-time: Delayed from trigger
Common batch scenarios:
- Nightly data synchronisation
- Monthly billing runs
- Report generation
- Data imports/exports
- Bulk communications
- System reconciliation
Batch considerations:
- Window timing (when to run)
- Volume handling (how much)
- Error management (partial failures)
- Restart/resume capability
- Monitoring and logging
Business Context
Batch processing efficiently handles high volumes, reduces system load during business hours, and is cost-effective for non-urgent processing.
How Clever Ops Uses This
We design batch processing for Australian businesses, optimising for overnight windows and ensuring reliable, restartable batch jobs.
Example Use Case
"Nightly batch job that processes all daily transactions: validates data, updates accounts, generates reports, and emails summaries before business opens."