For most DBAs, normalization is an understood concept, a bread and butter bit of knowledge. However, it is not at all unusual to review a database design by a development group for an OLTP (OnLine Transaction Processing) environment and find that the schema chosen is anything but properly normalized. This article by Brian Kelley will give you the core knowledge to data model.
2003-01-13
18,734 reads
Get a sneak peak of some of the sections from Start to Finish Guide to SQL Server Performance Monitor. Find out what counters to watch and what their thresholds are.
2002-08-06
21,295 reads
SQL Server DBAs are often curious about the inner-workings of SQL Server. Indeed, it can save your job during disasters to know what's going on inside SQL Server. This article shows you how to use some of the SQL Server internal views to view some meta data about your servers.
2002-01-09
17,582 reads
We all know what the ideal application design environment is for building a database back-end: an experienced DBA takes inputs from end users and developers and creates the database design in order to support the application being developed. But in reality, we don't get the opportunity to do application design like this very often. This article covers how to quickly find and fix problems in a design.
2001-08-20
8,216 reads
By HeyMo0sh
Over time, I’ve realised that one of the hardest parts of cloud management isn’t...
By HeyMo0sh
One of the biggest challenges I’ve faced in cloud operations is maintaining clear visibility...
By Steve Jones
I come to Heathrow often. Today is likely somewhere close to 60 trips to...
Comments posted to this topic are about the item Fun with JSON II
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Comments posted to this topic are about the item Answering Questions On Dropped Columns
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