feathr-ai · hangfei · Jun 8, 2022 · May 5, 2022 · May 5, 2022 · Jun 4, 2022
diff --git a/README.md b/README.md
@@ -44,6 +44,8 @@ pip install git+https://github.com/linkedin/feathr.git#subdirectory=feathr_proje
 
 ## ☁️ Running Feathr on Cloud
 
+Feathr has native integrations with Databricks and Azure Synapse:
+
 - Please read the [Quick Start Guide for Feathr on Databricks](./docs/quickstart_databricks.md) to run Feathr with Databricks.
 - Please read the [Quick Start Guide for Feathr on Azure Synapse](./docs/quickstart.md) to run Feathr with Azure Synapse.
 

diff --git a/docs/README.md b/docs/README.md
@@ -141,7 +141,7 @@ Feathr has native integration with Azure and other cloud services, and here's th
 
 ## Quickstart
 
-- [Quickstart](quickstart.md)
+- [Quickstart for Azure Synapse](quickstart_synapse.md)
 
 ## Concepts
 

diff --git a/docs/concepts/concepts.md b/docs/concepts/concepts.md
@@ -1,7 +1,6 @@
 ---
 layout: default
 title: Feathr Concepts
-nav_order: 3
 has_children: true
 permalink: docs/concepts
 ---

diff --git a/docs/concepts/feathr-concepts-for-beginners.md b/docs/concepts/feathr-concepts-for-beginners.md
@@ -141,4 +141,4 @@ For more details on how to utilize Feathr to perform point-in-time joins, refer
 
 ## Next Steps
 
-After you are familar with the above concepts, please check out the [quick start guide](../quickstart.md) to get your hands dirty. Enjoy!
+After you are familar with the above concepts, please check out the [quick start guide](../quickstart_synapse.md) to get your hands dirty. Enjoy!
diff --git a/docs/dev_guide/dev-guide.md b/docs/dev_guide/dev-guide.md
@@ -1,7 +1,6 @@
 ---
 layout: default
 title: Feathr Developer Guides
-nav_order: 5
 has_children: true
 permalink: docs/dev_guide
 ---

diff --git a/docs/how-to-guides/how-to-guides.md b/docs/how-to-guides/how-to-guides.md
@@ -1,7 +1,6 @@
 ---
 layout: default
 title: Feathr How-to Guides
-nav_order: 4
 has_children: true
 permalink: docs/how-to-guides
 ---

diff --git a/docs/images/databricks_quickstart1.png b/docs/images/databricks_quickstart1.png
diff --git a/docs/images/databricks_quickstart2.png b/docs/images/databricks_quickstart2.png
diff --git a/docs/quickstart_databricks.md b/docs/quickstart_databricks.md
@@ -6,4 +6,15 @@ nav_order: 3
 
 # Feathr Quickstart Guide for Databricks
 
-For Databricks, you can simply upload [this notebook](./samples/databricks/databricks_quickstart_nyc_taxi_driver.ipynb) to your Databricks cluster and just run it in the databricks cluster. It has been pre-configured to use the current databricks cluster to submit jobs.
+For Databricks, you can simply upload [this notebook](./samples/databricks/databricks_quickstart_nyc_taxi_driver.ipynb) to your Databricks cluster and just run it in the databricks cluster. It has been pre-configured to use the current databricks cluster to submit jobs.
+
+1. Import Notebooks in your databricks cluster:
+
+![Import Notebooks](./images/databricks_quickstart1.png)
+
+
+2. Paste the [link to databricks getting started notebook](./samples/databricks/databricks_quickstart_nyc_taxi_driver.ipynb):
+
+![Import Notebooks](./images/databricks_quickstart2.png)
+
+3. Run the whole notebook. It will automatically install Feathr in your cluster and run the feature ingestion jobs.
diff --git a/docs/quickstart.md → docs/quickstart_synapse.md b/docs/quickstart.md → docs/quickstart_synapse.md
diff --git a/docs/samples/databricks/databricks_quickstart_nyc_taxi_driver.ipynb b/docs/samples/databricks/databricks_quickstart_nyc_taxi_driver.ipynb
Original file line number	Diff line number	Diff line change
Expand Up		@@ -141,4 +141,4 @@ For more details on how to utilize Feathr to perform point-in-time joins, refer

		## Next Steps

		After you are familar with the above concepts, please check out the [quick start guide](../quickstart.md) to get your hands dirty. Enjoy!
		After you are familar with the above concepts, please check out the [quick start guide](../quickstart_synapse.md) to get your hands dirty. Enjoy!
xiaoyongzhu marked this conversation as resolved. Show resolved Hide resolved