Additional Articles


External Article

Creating a table with horizontal partitioning in SQL Server

During the planning phase I found out about the new partitioning feature in SQL Server 2005 and later editions of SQL Server. It is a vast topic with several associated operations and configurations involved. In this tip I will share what I learned about partitioning, show an example to implement horizontal table partitioning along with a comprehensive list of related benefits and considerations.

2009-07-23

4,028 reads

Technical Article

Building a Data Foundation for a BI Solution

August 2009
Business Intelligence: Planning Your First Microsoft BI Solution
Even BI novices can learn what goes into creating a BI solution, from planning and designing a data mart to preparing data. An Adventure Works example illustrates the first steps a company can take to ensure that its BI solution supports the strategic decisions it needs to make. Stacia Misner
Business Intelligence: Building a Data Foundation for a BI Solution
See how you can design and build a data mart that uses SQL Server 2008 Integration Services to perform the extract, transform and load (ETL) processes for the Adventure Works BI solution introduced in "Planning Your First Microsoft BI Solution." Derek Comingore

2009-07-22

2,055 reads

Technical Article

Using the Resource Governor

SQL Server 2008 introduces a new feature, the Resource Governor, which provides enterprise customers the ability to both monitor and control the way different workloads use CPU and memory resources on their SQL Server instances. This paper explains several practical usage scenarios and gives guidance on best practices.

2009-07-20

2,190 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