deployment public cloud

ComposableAnalytics · Jun 28, 2019 · 47c6842 · 47c6842
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diff --git a/docs/01.Getting-Started/04.Public-Cloud-Deployment.md b/docs/01.Getting-Started/04.Public-Cloud-Deployment.md
@@ -39,7 +39,7 @@ Composable is available in the AWS Marketplace at [AWS](https://aws.amazon.com/m
 
     ![AWS Composable Installation Wizard](img/01.04.AWS_Install_05.png)
 
-    !!! AWS Usage Instructions
+    !!! Usage-Instructions
         Composable DataOps Platform can be accessed via any browser (Chrome, Firefox, IE, Edge, ...). Once the instance is running, you can point your web browser to http://<public hostname>/CompAnalytics/, where <public hostname> is the public IP address for your instance (e.g., ec2-12-345-678-90.us-west-2.compute.amazonaws.com) listed in the EC2 Dashboard within the AWS Console. You may also connect to this instance directly using Remote Desktop Connection, and navigate to localhost/CompAnalytics. The password for username "admin" will be dynamically set to the EC2 instance ID. (e.g., username "admin" and password "i-03cfe92f81f787655"). Instance ID can be retrieved from the AWS Console once your VM is launched. You may modify rules in the security group to control the inbound and outbound traffic to this instance.
 
 # Azure Marketplace

diff --git a/docs/03.DataFlows/06.DataFlow-Reuse.md b/docs/03.DataFlows/06.DataFlow-Reuse.md
@@ -17,7 +17,10 @@ Code resuse is the use of existing code across multiple applications. Software e
 
 ## Step-by-step Example
 
-As an example of code reuse, let us assume that we need to perform an identical task many times, either within a single DataFlow or by multiple distinct DataFlows. For this example, the repeated task takes in a specific column of a table, performs an aggregation (e.g., SUM, AVG, or COUNT), and outputs the result. We can compose a DataFlow for this task, utilizing first-class modules wrapped with External Input and External Output modules, and save it as its own DataFlow. The External Input and Output modules essentially expose the inputs and outputs of this DataFlow within a parent DataFlow.
+As an example of code reuse, let us assume that we need to perform an identical task many times, either within a single DataFlow or by multiple distinct DataFlows. For this example, the repeated task takes in a specific column of a table, performs an aggregation (e.g., SUM, AVG, or COUNT), and outputs the result. We can compose a DataFlow for this task, utilizing first-class modules wrapped with External Input and External Output modules, and save it as its own DataFlow.
+
+!!! Note
+    The External Input and Output modules work to expose the inputs and outputs of a DataFlow within a parent DataFlow. Use the correct External Input and Output modules based on the data type required (e.g., string, boolean, table, etc.).
 
 Here is what this DataFlow will look like.