diff --git a/docs/modules/ROOT/images/feast_batch.png b/docs/modules/ROOT/images/feast_batch.png new file mode 100644 index 000000000..8c0f458a2 Binary files /dev/null and b/docs/modules/ROOT/images/feast_batch.png differ diff --git a/docs/modules/ROOT/images/feast_streaming.png b/docs/modules/ROOT/images/feast_streaming.png new file mode 100644 index 000000000..6c3a12866 Binary files /dev/null and b/docs/modules/ROOT/images/feast_streaming.png differ diff --git a/docs/modules/integrate/pages/feature-engineering-with-feast.adoc b/docs/modules/integrate/pages/feature-engineering-with-feast.adoc index 8fd7a8c79..11681984a 100644 --- 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 index 62e502b2b..b11d5b6cc 100644 --- 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: