It is important to only allow authorized individuals access to confidential data. Therefore when setting up an Always Encrypted table it is important to consider splitting configuration tasks between multiple individuals/groups to improve security. Follow Greg Larsen as he shows how to setup up SQL Server Always Encrypted tables where database administrators can’t see the clear text confidential data.
People have hacked the voyage data recorders in ships. Steve Jones thinks this is a fundamental problem in computing systems.
Paul White spends some time optimizing update queries in order to explore some SQL Server internals.
Steve Jones is looking for a new laptop. Perhaps. Read on to see what he wants in a machine.
Phil factor argues that if you are within the SQL and relational mindset, there is no good technical reason to have to change, since SQLite takes care of all the small stuff and the new breed of NewSQL takes care of the jelly-masses of unstructured data.
Sometimes the stress of interdepartmental friction within organisations can get on top of you, especially between the business and IT when the going gets tough. Simple-Talk's answer is a board game to put it all into perspective. Instead of getting carried away, play the board game instead and reach catharsis.
PowerShell is like any computer language: you must understand the paradigms, the constructs, and the way it is designed to work to get the most value from it. It is no good just translating 'sausage-string' procedural algorithms. To demonstrate how Powersahell should be used as its' creators intended, Laerte Junior shows the difference between PowerShell problem-solving with, and without, PowerShell paradigms.
Failures happen with manual and automated releases, they are a fact of life. Make sure you know how and when to rollback failed deployments
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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
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