minor fixes

Author: Kat-Campise

articles/synapse-analytics/sql-data-warehouse/sql-data-warehouse-connect-overview.md

@@ -17,7 +17,7 @@ ms.custom: seo-lt-2019
 Get connected to SQL pool.
 
 ## Find your server name
-The server name in the following example is samplesvr.database.windows.net. To find the fully qualified server name:
+The server name in the following example is sqlpoolservername.database.windows.net. To find the fully qualified server name:
 
 1. Go to the [Azure portal](https://portal.azure.com).
 2. Click on **Azure Synapse Analytics**.

articles/synapse-analytics/sql-data-warehouse/sql-data-warehouse-develop-dynamic-sql.md

@@ -14,11 +14,11 @@ ms.custom: seo-lt-2019
 ---
 
 # Dynamic SQL in Synapse SQL pool
-Tips for development solutions using dynamic SQL in SQL pool.
+Included in this article are tips for development solutions using dynamic SQL in SQL pool.
 
 ## Dynamic SQL Example
 
-When developing application code for SQL pool, you may need to use Dynamic SQL to help deliver flexible, generic, and modular solutions. SQL pool doesn't support blob data types at this time. 
+When developing application code for SQL pool, you may need to use dynamic SQL to help deliver flexible, generic, and modular solutions. SQL pool doesn't support blob data types at this time. 
 
 Not supporting blob data types might limit the size of your strings since blob data types include both varchar(max) and nvarchar(max) types. 
 

articles/synapse-analytics/sql-data-warehouse/sql-data-warehouse-develop-label.md

@@ -33,7 +33,7 @@ Querying for labels provides a mechanism for locating problem queries and helpin
 
 A good naming convention really helps. For example, starting the label with PROJECT, PROCEDURE, STATEMENT, or COMMENT uniquely identifies the query among all the code in source control.
 
-The following query uses a dynamic management view to search by label.
+The following query uses a dynamic management view to search by label:
 
 ```sql
 SELECT  *

articles/synapse-analytics/sql-data-warehouse/sql-data-warehouse-develop-stored-procedures.md

@@ -28,7 +28,10 @@ Stored procedures are a great way for encapsulating your SQL code, which is stor
 
 SQL pool provides a simplified and streamlined stored procedure implementation. The biggest difference compared to SQL Server is that the stored procedure isn't pre-compiled code. 
 
-In general, for data warehouses, the compilation time is small in comparison to the time it takes to run queries against large data volumes. It's more important to ensure the stored procedure code is correctly optimized for large queries. The goal is to save hours, minutes, and seconds, not milliseconds. So, it's helpful to think of stored procedures as containers for SQL logic.     
+In general, for data warehouses, the compilation time is small in comparison to the time it takes to run queries against large data volumes. It's more important to ensure the stored procedure code is correctly optimized for large queries. 
+
+> [!TIP]
+> The goal is to save hours, minutes, and seconds, not milliseconds. So, it's helpful to think of stored procedures as containers for SQL logic.     
 
 When SQL pool executes your stored procedure, the SQL statements are parsed, translated, and optimized at run time. During this process, each statement is converted into distributed queries. The SQL code that is executed against the data is different than the query submitted.