Batch Processing

Intro

Batch Processing executes groups of tasks or transactions together at scheduled times. In EA, it’s used for predictable workloads and large data operations.

Key points:

• Optimises throughput with scheduled, grouped execution
• Reduces overhead versus per‑transaction processing
• Common use cases: billing runs, data warehouse loads, overnight reconciliations, report generation, archival
• Pitfall: long batch windows can impact availability and SLAs

Examples:

• Nightly ETL loading data marts
• Monthly invoice generation for all accounts
• End‑of‑day ledger reconciliation

In practice:

Plan windows and dependencies; use monitoring and retries to manage risk.

Related terms: ETL; Data Warehouse; SLA

FAQs:

Q: When choose batch over real‑time?
A: For large, predictable workloads where latency is acceptable.

Q: How do you manage batch risk?
A: Scheduling, dependency maps, monitoring, and retry policies.

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