Database User Superfluousness In SQL Server
In this article, Thomas Knight analyzes and critiques the design of, and experience with, the "dual-level" user security in SQL Server. He then demonstrates a better theoretical alternative.
In this article, Thomas Knight analyzes and critiques the design of, and experience with, the "dual-level" user security in SQL Server. He then demonstrates a better theoretical alternative.
Old data can come back to haunt you. Steve Jones talks about potential problems when data comes back to life.
Ask database administrators how they implement disaster recovery in their big data environments and you'll get two typical responses: DR plans are not necessary and backups take up a lot of space. Despite this reasoning, a disaster recovery plan for your big data implementation may be essential for your company's future.
Big Data is being used to analyze more and more data to produce better decisions. However that doesn't always work as people might expect. Steve Jones talks about some of the issues with using Big Data in hiring.
This is an introduction to the SQL Server Microsoft Sequence Cluster Algorithm.
This is an introduction to the SQL Server Microsoft Sequence Cluster Algorithm.
Backing up MongoDB is akin to backing up SQL Server databases with a Windows tool such as Microsoft DPM. It removes almost all control over the database backup, and more critically, the database restore operation.
SQLServerCentral has commissioned a new cartoon that will be coming later this week.
The frequency of releasing software varies widely in the industry. If the test and release process is made as reliable and predictable as possible, then everyone gains. But how do you get started?
This week Steve Jones wonders what you might want to add to SQL Server. With SQL Server 2016 likely in the early planning stages, where would you want to see the development effort focused.
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Comments posted to this topic are about the item Fun with JSON II
Comments posted to this topic are about the item Changing Data Types
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 t1.[key] AS row,
t2.*
FROM OPENJSON(
(
SELECT t.* FROM #test_data AS t FOR JSON PATH
)
) t1
CROSS APPLY OPENJSON(t1.value) t2; See possible answers