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new 27b1f9ce Update 2024-03-10-kafka-meets-wayang-3.md
27b1f9ce is described below
commit 27b1f9ce3c25406307a196af4c9f78989b73e3cc
Author: Mirko Kämpf <[email protected]>
AuthorDate: Sat Sep 21 07:49:44 2024 +0200
Update 2024-03-10-kafka-meets-wayang-3.md
fixed link
---
blog/2024-03-10-kafka-meets-wayang-3.md | 2 +-
1 file changed, 1 insertion(+), 1 deletion(-)
diff --git a/blog/2024-03-10-kafka-meets-wayang-3.md
b/blog/2024-03-10-kafka-meets-wayang-3.md
index 24e2409b..ba2c777d 100644
--- a/blog/2024-03-10-kafka-meets-wayang-3.md
+++ b/blog/2024-03-10-kafka-meets-wayang-3.md
@@ -15,7 +15,7 @@ Let's see how it goes this time with Apache Spark.
We want to process data from Apache Kafka topics, which are hosted on
Confluent cloud.
In our example scenario, data is available in multiple different clusters, in
different regions and owned by different organizations.
-Each organization uses the "Stream sharing" feature
[https://docs.confluent.io/cloud/current/stream-sharing/index.html] provided by
Confluent cloud.
+Each organization uses the ["stream sharing"
feature](https://docs.confluent.io/cloud/current/stream-sharing/index.html)
provided by Confluent cloud.
This way, the operator of our central processing job has been granted
appropriate permissions. The plaftorm provided the necessary configuration
properties, including access coordinates and credentials in the name of the
topic owner to us.
