Fixing issue #4

Author: jeroenterheerdt

Resources/ActionScripts/create_user.sql

@@ -0,0 +1,21 @@
+-- Thus script enables mixed authentication on SQL Server, creates a user 'rdemo' with password 'D@tascience2016' and gives them the orrec permissions
+
+-- Pre-requisites: 
+-- 1) You should connect to the database in the SQL Server of the DSVM with:
+-- Server Name: localhost
+-- Integrated authentication is used
+
+DECLARE @User varchar;
+DECLARE @Password varchar;
+
+-- Set default username and password. Change these values to use different username and password
+SET @User = "rdemo"
+SET @Password = "D@atascience2016"
+
+EXEC xp_instance_regwrite N'HKEY_LOCAL_MACHINE', N'Software\Microsoft\MSSQLServer\MSSQLServer', N'LoginMode', REG_DWORD, 2
+CREATE LOGIN @User WITH PASSWORD=@Password, DEFAULT_DATABASE=[master], CHECK_EXPIRATION=OFF, CHECK_POLICY=OFF
+ALTER SERVER ROLE [sysadmin] ADD MEMBER @User
+EXEC sp_configure 'external scripts enabled', 1
+RECONFIGURE WITH OVERRIDE
+
+GO

SQLPy/ReadmeSQLPy.md

@@ -11,7 +11,7 @@
 ### Introduction
 -------------------------
 
-When a customer sends a support tiket, it is important to route it to the right team in order to examine the issue and solve it in the fastest way possible. This notebook uses a preprocessed version of the NewsGroups20, containing a Subject, a Text, and a Label (20 classes). It has a similar structure to a support tiket data set which would also haver two data fields: Title, and Problem description.
+When a customer sends a support ticket, it is important to route it to the right team in order to examine the issue and solve it in the fastest way possible. This notebook uses a preprocessed version of the NewsGroups20, containing a Subject, a Text, and a Label (20 classes). It has a similar structure to a support ticket data set which would also haver two data fields: Title, and Problem description.
 
 For businesses that prefers an on-prem solution, the implementation with SQL Server R Services is a great option, which takes advantage of the power of SQL Server and RevoScaleR (Microsoft R Server). In this template, we implemented all steps in SQL stored procedures: data preprocessing, and feature engineering are implemented in pure SQL, while models training, scoring and evaluation steps are implemented with SQL stored procedures with embedded R (Microsoft R Server) code. 
 
@@ -22,9 +22,9 @@ All the steps can be executed on SQL Server client environment (such as SQL Serv
 
 To run the scripts, it requires the following:
  * SQL server 2017 with RevoscalePy (version 9.2) and MicrosoftML (version 1.5.0) installed and configured;
- * The SQL user name and password, and the user is configured properly to execute Python scripts in-memory;
- * SQL Database for which the user has write permission and can execute stored procedures (see create_user.sql);
- * Implied authentification is enabled so a connection string can be automatically created in R codes embedded into SQL Stored Procedures (see create_user.sql).
+ * The SQL user name and password, and the user is configured properly to execute Python scripts in-memory (see [create_user.sql](..\Resources\ActionScripts\create_user.sql)).
+ * SQL Database for which the user has write permission and can execute stored procedures (see [create_user.sql](..\Resources\ActionScripts\create_user.sql)).
+ * Implied authentication is enabled so a connection string can be automatically created in R codes embedded into SQL Stored Procedures.
  * For more information about SQL server 2016 and R service, please visit: https://msdn.microsoft.com/en-us/library/mt604847.aspx
 
 

SQLR/ReadmeSQLR.md

@@ -11,7 +11,7 @@
 ### Introduction
 -------------------------
 
-When a customer sends a support tiket, it is important to route it to the right team in order to examine the issue and solve it in the fastest way possible. This notebook uses a preprocessed version of the NewsGroups20, containing a Subject, a Text, and a Label (20 classes). It has a similar structure to a support tiket data set which would also haver two data fields: Title, and Problem description.
+When a customer sends a support ticket, it is important to route it to the right team in order to examine the issue and solve it in the fastest way possible. This notebook uses a preprocessed version of the NewsGroups20, containing a Subject, a Text, and a Label (20 classes). It has a similar structure to a support ticket data set which would also haver two data fields: Title, and Problem description.
 
 For businesses that prefers an on-prem solution, the implementation with SQL Server R Services is a great option, which takes advantage of the power of SQL Server and RevoScaleR (Microsoft R Server). In this template, we implemented all steps in SQL stored procedures: data preprocessing, and feature engineering are implemented in pure SQL, while models training, scoring and evaluation steps are implemented with SQL stored procedures with embedded R (Microsoft R Server) code. 
 
@@ -22,9 +22,9 @@ All the steps can be executed on SQL Server client environment (such as SQL Serv
 
 To run the scripts, it requires the following:
  * SQL server 2017 with RevoscaleR (version 9.2) and MicrosoftML (version 1.4.0) installed and configured;
- * The SQL user name and password, and the user is configured properly to execute R scripts in-memory;
- * SQL Database for which the user has write permission and can execute stored procedures (see create_user.sql);
- * Implied authentification is enabled so a connection string can be automatically created in R codes embedded into SQL Stored Procedures (see create_user.sql).
+ * The SQL user name and password, and the user is configured properly to execute R scripts in-memory (see [create_user.sql](..\Resources\ActionScripts\create_user.sql)).
+ * SQL Database for which the user has write permission and can execute stored procedures (see [create_user.sql](..\Resources\ActionScripts\create_user.sql)).
+ * Implied authentication is enabled so a connection string can be automatically created in R codes embedded into SQL Stored Procedures.
  * For more information about SQL server 2016 and R service, please visit: https://msdn.microsoft.com/en-us/library/mt604847.aspx