It is a fact of life: SQL Server databases change homes. They move from one instance to another, from one version to the next, from old servers to new ones. They move around as an organisation’s data grows, applications are enhanced or new versions of the database software are released.
Come get a free day of SQL Server training in Wheeling on Jul 23, 2011.
This editorial was originally published on May 3, 2006. Steve is traveling in the UK this week and we are reprinting older pieces. This one looks at offshoring.
There is a popular design for a database that requires a built-in audit-trail of amendments and additions, where data is never deleted, but superseded by a later version. Whilst this is conceptually simple, it has always made reporting the latest version of data complicated. Alex Kuznetsov joins the debate on the best way of doing this with an example using an indexed view and the filtered index.
This editorial was originally published on Feb 19, 2006. We are reprinting pieces this week as Steve is traveling in the UK.
In this article Tom Thomson takes a look at what second normal form means, how it is violated, and how you can fix it. This is part of our normalization series.
We're pretty confident that we have locked down and encrypted our financial data, but a lot of our customer's PII (Personally Identifiable Information) data is still held in unencrypted form. This data is able to be selected directly by read only business users on many of our downstream reporting, datawarehouse and standby servers. The rise of identity theft makes protecting this data imperative. DBAs are the custodians of this information and must protect it like we protect our own personal information. Recent publicity over the theft of Sony PSN data underscores both the economic and ethical importance of protecting personal data.
This editorial was originally published on Feb 17, 2006. Steve is traveling in the UK this week and we are re-printing some old pieces. This one talks about a search engine for code.
Fabiano Amorim was asked a couple of questions about SQL Server Distribution Statistics. Having given an answer based on his current knowledge, he then decided to find out for himself whether what he'd said was right, and started an epic journey of exploration into Distribution Statistics and the way that the Query Optimiser uses them.
By James Serra
I’m honored to be hosting T-SQL Tuesday — edition #192. For those who may...
By Vinay Thakur
Continuing from Day 2 , we learned introduction on Generative AI and Agentic AI,...
Quite the title, so let me set the stage first. You have an Azure...
hi everyone I am not sure how to write the query that will produce...
Comments posted to this topic are about the item Rollback vs. Roll Forward
Comments posted to this topic are about the item Foreign Keys - Foes or...
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