Additional Articles


Technical Article

Build a Metadata-Driven ETL Platform by Extending Microsoft SQL Server Integration Services

SQL Server 2008 Integration Services (SSIS) provides a flexible and scalable architecture that enables high-performance data extract, transform, and load (ETL). The Microsoft Business Intelligence Center of Excellence has extended SSIS to a metadata-driven platform to more effectively build, deploy, and manage ETL processes in large data warehousing environments.

2008-09-19

3,818 reads

Technical Article

Data Warehouse Capacity Planning as Capacity Enforcement

Capacity planning is a problem for a data warehouse because it sets contrasting functional requirements against each other. On one hand, data warehouse customers consume data warehouse capacity as they query the data in the data warehouse business intelligence (BI) reporting. Meanwhile, applications consume data warehouse capacity as they load data into a data warehouse through the extract, transform and load (ETL) process.

2008-09-19

3,269 reads

External Article

Administering your Windows Internal Database (MICROSOFT##SSEE) instance

Microsoft products such as Windows Server Update Services (WSUS) 3.0 and Windows Sharepoint Services (WSS) 3.0 ship with SQL Server 2005 Embedded Edition. Now called the Windows Internal Database, more and more system administrators charged with managing WSUS and WSS are faced with the challenge of managing these databases. Since most of these system administrators are not full-fledged DBAs, how do they manage the Windows Internal Database?

2008-09-17

3,273 reads

Technical Article

Best Practices for Data Warehousing with SQL Server 2008

There is considerable evidence that successful data warehousing projects often produce a very high return on investment. Over the years a great deal of information has been collected about the factors that lead to a successful implementation versus an unsuccessful one. These are encapsulated here into a set of best practices, which are presented with particular reference to the features in SQL Server 2008.

2008-09-12

5,318 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