Azure · Marvin Buss (marvinbuss) · Apr 20, 2022 · Apr 20, 2022
@@ -11,7 +11,7 @@ The Cloud-scale Analytics architecture consists of two core building blocks:
 
 The architecture is modular by design and allows organizations to start small with a single Data Management Landing Zone and Data Landing Zone, but also allows to scale to a multi-subscription data platform environment by adding more Data Landing Zones to the architecture. Thereby, the reference design allows to implement different modern data platform patterns like data-mesh, data-fabric as well as traditional datalake architectures. Cloud-scale Analytics has been very well aligned with the data-mesh approach, and is ideally suited to help organizations build data products and share these across business units of an organization. If core recommendations are followed, the resulting target architecture will put the customer on a path to sustainable scale.
 
-![Cloud-scale Analytics](/docs/images/DataManagementAnalytics.gif)
+![Cloud-scale Analytics](/docs/images/CloudScaleAnalytics.gif)
 
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     The architecture is modular by design and allows organizations to start small with a single Data Management Landing Zone and Data Landing Zone, but also allows to scale to a multi-subscription data platform environment by adding more Data Landing Zones to the architecture. Thereby, the reference design allows to implement different modern data platform patterns like data-mesh, data-fabric as well as traditional datalake architectures. Cloud-scale Analytics has been very well aligned with the data-mesh approach, and is ideally suited to help organizations build data products and share these across business units of an organization. If core recommendations are followed, the resulting target architecture will put the customer on a path to sustainable scale.
-    ![Cloud-scale Analytics](/docs/images/DataManagementAnalytics.gif)
+    ![Cloud-scale Analytics](/docs/images/CloudScaleAnalytics.gif)
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