It becomes a problem when the business needs a decision now, but the architecture was designed to make that information available later. Every few hours, a scheduled job extracts the data, transforms it, updates another system, and eventually makes it available downstream.
It becomes a problem when the business needs a decision now, but the architecture was designed to make that information available later.
Every few hours, a scheduled job extracts the data, transforms it, updates another system, and eventually makes it available downstream.
This works fine — until the business asks: "Why can't we react to this the moment it happens?"
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It becomes a problem when the business needs a decision now, but the architecture was designed to make that information available later. Every few hours, a scheduled job extracts the data, transforms it, updates another system, and eventually makes it available downstream. This works fine — until the business asks: "Why can't we react to this the moment it happens?"
Batch processing isn't inherently a disadvantage. Picture an enterprise system processing millions of customer interactions. Transactions land across multiple systems throughout the day.
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