Data conversion from Sql server to XML

I have to take 2 million rows from a Sql server table (extracting 20 fields from table )  and create XML in a predefined format .

Sql Server table has sample fields like ( ALL ARE STRING)
     ID , Name, Discipline, Asset, category ,CreationDate

 XML has to be created in some format which later need to be "loaded" into another SQL Database ( A software will read the XML and create Sql instruction to insert rows into a normalised database)

Category entries need to be validated against a picklist
The XML will have attributes like EquipName ( Which maps to Name in the input  databse ) ,  DocCreationDate ( The date conversion rule has to be applied here)
...... And more fields and rules

Any thoughts on how to handle this ? I am thinking of writing a .net utility for this . I have no working knowledge on ETL. But an open source free  ETL is good for this ?  

Any thoughts on a high level design of the utility  for this ? Especially considering the 2 million rows
Sam OZAsked:
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AndyAinscowFreelance programmer / ConsultantCommented:
Any reason why you can't export the data directly from the SQL server to a (eg. comma delimited) file ?
zc2Commented:
What kind of the SQL server is that?
MSSQL allows to export data to XML
You need to craft an SQL expression something like the following:
select ID ,
 Name as [@EquipName ], 
Discipline as [Discipline], 
Asset as [Asset], 
category as [category],
CreationDate as [@DocCreationDate ]
from the table 
where category in ('pick list val1','pick list val2','pick list val3')
for XML path('RowElementName')

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Sam OZAuthor Commented:
Hi Experts,
   I have to mention that the task is not just exporting table to XML.  Based on the table data , with several rules and validations the XML need to be written in a given format . I believe a utility need to be written for that.
AndyAinscowFreelance programmer / ConsultantCommented:
I still think you could probably just do it in SQL.

Anyway:
Any thoughts on a high level design of the utility  for this ? Especially considering the 2 million rows
Just design it for handling one row then let it loop through all the rows.  The 2 million is a red herring (unless you intend to do this eg. hourly from now on).
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