Lab Updates

Suffix info updated
brucepham · Jun 15, 2019 · 10ddc77 · 10ddc77
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Showing 4 changed files with 18 additions and 11 deletions.
diff --git a/Lab/Lab1/Lab1.md b/Lab/Lab1/Lab1.md
@@ -14,17 +14,13 @@ Step     | Description
 ![4](./Media/Black4.png) | Load data to an Azure SQL Data Warehouse table using Polybase
 ![5](./Media/Black5.png) | Visualize data from Azure SQL Data Warehouse using Power BI
 
-**IMPORTANT**: Some of the Azure services provisioned require globally unique name and a “-suffix” has been added to their names to ensure this uniqueness. Please take note of the suffix generated as you will need it for the following resources:
+**IMPORTANT**: Some of the Azure services provisioned require globally unique name and a “-suffix” has been added to their names to ensure this uniqueness. Please take note of the suffix generated as you will need it for the following resources in this lab:
 
 Name	                     |Type
 -----------------------------|--------------------
-mdwcosmosdb-*suffix*	     |Cosmos DB account
 MDWDataFactory-*suffix*	     |Data Factory (V2)
 mdwdatalake*suffix*	         |Storage Account
-MDWEventHubs-*suffix*	     |Event Hubs Namespace
-MDWKeyVault-*suffix*	     |Key vault
 mdwsqlvirtualserver-*suffix* |SQL server
-MDWStreamAnalytics-*suffix*	 |Stream Analytics job
 
 ## Connect to MDWDesktop
 In this section you are going to establish a Remote Desktop Connection to MDWDesktop virtual machine.

diff --git a/Lab/Lab2/Lab2.md b/Lab/Lab2/Lab2.md
@@ -13,20 +13,15 @@ Step     | Description
 ![](./Media/Green3.png) | Use Polybase to load data into staging tables in your Azure SQL Data Warehouse. Call a Stored Procedure to perform data aggregations and save results in the final table.
 ![](./Media/Green4.png) | Visualize data from your Azure SQL Data Warehouse using Power BI
 
-**IMPORTANT**: Some of the Azure services provisioned require globally unique name and a “-suffix” has been added to their names to ensure this uniqueness. Please take note of the suffix generated as you will need it for the following resources:
+**IMPORTANT**: Some of the Azure services provisioned require globally unique name and a “-suffix” has been added to their names to ensure this uniqueness. Please take note of the suffix generated as you will need it for the following resources in this lab:
 
 Name	                     |Type
 -----------------------------|--------------------
-mdwcosmosdb-*suffix*	     |Cosmos DB account
 MDWDataFactory-*suffix*	     |Data Factory (V2)
 mdwdatalake*suffix*	         |Storage Account
-MDWEventHubs-*suffix*	     |Event Hubs Namespace
-MDWKeyVault-*suffix*	     |Key vault
 mdwsqlvirtualserver-*suffix* |SQL server
 MDWStreamAnalytics-*suffix*	 |Stream Analytics job
 
-
-
 ## Create Azure SQL Data Warehouse database objects
 In this section you will connect to Azure SQL Data Warehouse to create the database objects used to host and process data.
 

diff --git a/Lab/Lab3/Lab3.md b/Lab/Lab3/Lab3.md
@@ -10,6 +10,13 @@ Step     | Description
 -------- | -----
 ![](./Media/Red1.png) |Build an Azure Databricks notebook to explore the data files you saved in your data lake in the previous exercise. You will use Python and SQL commands to open a connection to your data lake and query data from data files.
 
+**IMPORTANT**: Some of the Azure services provisioned require globally unique name and a “-suffix” has been added to their names to ensure this uniqueness. Please take note of the suffix generated as you will need it for the following resources:
+
+Name	                     |Type
+-----------------------------|--------------------
+mdwdatalake*suffix*	         |Storage Account
+MDWDatabricks-*suffix*	     |Databricks Workspace
+
 ## Create Azure Databricks Cluster 
 In this section you are going to create an Azure Databricks cluster that will be used to execute notebooks.
 

diff --git a/Lab/Lab4/Lab4.md b/Lab/Lab4/Lab4.md
@@ -15,6 +15,15 @@ Step     | Description
 ![](./Media/Blue5.png) | Copy metadata JSON documents into your Cosmos DB database
 ![](./Media/Blue6.png) | Visualize images and associated metadata using Power BI
 
+**IMPORTANT**: Some of the Azure services provisioned require globally unique name and a “-suffix” has been added to their names to ensure this uniqueness. Please take note of the suffix generated as you will need it for the following resources:
+
+Name	                     |Type
+-----------------------------|--------------------
+mdwcosmosdb-*suffix*	     |Cosmos DB account
+MDWDataFactory-*suffix*	     |Data Factory (V2)
+mdwdatalake*suffix*	         |Storage Account
+MDWDatabricks-*suffix*	     |Databricks Workspace
+
 ## Create NYCImages and NYCImageMetadata Containers in Azure Blob Storage
 In this section you will create a container in your MDWDataLake that will be used as a repository for the NYC image files. You will copy 30 files from the MDWResources Storage Account into your NYCTaxiData container.