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new db4da4c2ba6 Update overview.md
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commit db4da4c2ba61431472ca697b0392aaf38805146d
Author: Philipp Hoffmann <philipp.hoffm...@thoughtworks.com>
AuthorDate: Thu Dec 19 09:27:38 2024 +0100
Update overview.md
Minor documentation fix
---
docs/content/docs/learn-flink/overview.md | 2 +-
1 file changed, 1 insertion(+), 1 deletion(-)
diff --git a/docs/content/docs/learn-flink/overview.md
b/docs/content/docs/learn-flink/overview.md
index ced0770d850..538d8d46e9f 100644
--- a/docs/content/docs/learn-flink/overview.md
+++ b/docs/content/docs/learn-flink/overview.md
@@ -94,7 +94,7 @@ Streams can transport data between two operators in a
`one-to-one `(or forwardin
## Timely Stream Processing
-For most streaming applications it is very valuable to be able re-process
historic data with the same code that is used to process live data – and to
produce deterministic, consistent results, regardless.
+For most streaming applications it is very valuable to be able to re-process
historic data with the same code that is used to process live data – and to
produce deterministic, consistent results, regardless.
It can also be crucial to pay attention to the order in which events occurred,
rather than the order in which they are delivered for processing, and to be
able to reason about when a set of events is (or should be) complete.
For example, consider the set of events involved in an e-commerce transaction,
or financial trade.
