DTS

Technical Article

Migrating DTS Packages to Integration Services

  • Article

In this whitepaper, you will see the benefits of migrating your SQL Server 2000 Data Transformation Services (DTS) packages to Integration Services by using two proven methods. You will also see how you can run and manage your current DTS packages inside of the SQL Server 2005 and 2008 management tools.

2008-11-07

5,110 reads

SQLServerCentral Article

Migrating SQL Server 2000 DTS Packages Across Environments

  • Article

Many of us still have SQL Server 2000 DTS packages running throughout our environment. New author Owais Bashir Ahmed brings us an interesting technique for moving those packages between servers that might come in handy as you continue to work on these packages in SQL Server 2000.

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2007-10-09

6,276 reads

SQLServerCentral Article

Conditional Flow in DTS

  • Article

While SQL Server Integration Services is a huge improvement in the ETL capabilities of SQL Server, there are quite a few environments still using DTS in SQL Server 2000. Wayne Fillis brings us a method for implementing conditional logic in your packages.

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2008-03-19 (first published: )

10,293 reads

SQLServerCentral Article

Five Realtime DTS Examples

  • Article

SQL Server 2005 includes an amazing ETL environment in Integration Services, but many DBAs will be using DTS and SQL Server
2000 for years to come. Jambu Krishnamurthy brings us a few handy examples of how you can customize your DTS environment.

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2008-02-08 (first published: )

17,646 reads

SQLServerCentral Article

The Dynamic Process of Loading Data

  • Article

When loading a data warehouse, handling the ETL process of working with files can be problematic. Longtime DBA Janet Wong brings us an interesting solution that is flexible and efficient for quickly loading a number of files into a warehouse using DTS.

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2007-12-31 (first published: )

9,955 reads

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Question of the Day

Fun with JSON I

I have some data in a table:

CREATE TABLE #test_data
(
    id INT PRIMARY KEY,
    name VARCHAR(100),
    birth_date DATE
);

-- Step 2: Insert rows  
INSERT INTO #test_data
VALUES
(1, 'Olivia', '2025-01-05'),
(2, 'Emma', '2025-03-02'),
(3, 'Liam', '2025-11-15'),
(4, 'Noah', '2025-12-22');
If I run this query, how many rows are returned?
SELECT *
FROM OPENJSON(
     (
         SELECT t.* FROM #test_data AS t FOR JSON PATH
     )
             ) t;

See possible answers