Feast diagrams (#1288)

hazelcast · Sep 16, 2024 · d37b8a8 · d37b8a8
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diff --git a/docs/modules/ROOT/images/feast_batch.png b/docs/modules/ROOT/images/feast_batch.png
diff --git a/docs/modules/ROOT/images/feast_streaming.png b/docs/modules/ROOT/images/feast_streaming.png
diff --git a/docs/modules/integrate/pages/feature-engineering-with-feast.adoc b/docs/modules/integrate/pages/feature-engineering-with-feast.adoc
@@ -1,4 +1,4 @@
-= Feature Engineering with Feast
+= Get Started with Feast Batch Features
 :description: This tutorial will get you started with feature engineering using the Hazelcast integration with Feast.
 
 {description}
@@ -9,6 +9,9 @@ You will setup an offline feature store with PostgreSQL and an online feature st
 Then, populate the offline feature store using Jet jobs.
 Finally, you will transfer the features in the offline store to the online store.
 
+.Overview of Feast batch workflow
+image:ROOT:feast_batch.png[Feast batch wokflow]
+
 == Before you Begin
 
 You will need the following ready before starting the tutorial:

diff --git a/docs/modules/integrate/pages/streaming-features-with-feast.adoc b/docs/modules/integrate/pages/streaming-features-with-feast.adoc
@@ -1,4 +1,4 @@
-= Feast Streaming Features
+= Get Started with Feast Streaming Features
 :description: This tutorial will get you started with streaming features using the Hazelcast integration with Feast.
 
 {description}
@@ -8,6 +8,9 @@
 You will setup an offline feature store with PostgreSQL and an online feature store with Hazelcast.
 Then update the online feature store using a Jet job in real time from transactions streaming in a Kafka topic.
 
+.Overview of Feast streaming workflow
+image:ROOT:feast_streaming.png[Feast streaming wokflow]
+
 == Before you Begin
 
 You will need the following ready before starting the tutorial: