Masking Data
As DBAs we go to great lengths to ensure the security of our production data. But what happens when it moves off of a production server?
As DBAs we go to great lengths to ensure the security of our production data. But what happens when it moves off of a production server?
As DBAs we go to great lengths to ensure the security of our production data. But what happens when it moves off of a production server?
This is the eighth article in a continuing series, and this installment discusses the Data Steward Coordinator.
In SQL Server 2005, the management object framework changed substantially from the DMO framework in prior verisons. Now we have SMO, RMO, and other .NET assemblies that can be used to manage SQL Server. New author Brandie Tarvin brings us a short look at how SMO can be used to perform one of those critical tasks in SQL Server.
This article explains how to import text files using SSIS in those cases where the text files have different formatted data on different rows. The solution recommended involves minimal coding and is highly maintainable.
A new technology could be a boon for database servers, dramatically increasing the amount of memory available for SQL Server.
Steve Jones looks ahead to an interesting trip for the future of a couple of technical geeks.
Steve Jones looks ahead to an interesting trip for the future of a couple of technical geeks.
Steve Jones looks ahead to an interesting trip for the future of a couple of technical geeks.
This tip shows you how you can apply the cross-validation feature in the upcoming SQL Server 2008 release to estimate if the training set size is sufficient for a given model.
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Over time, I’ve realised that one of the hardest parts of cloud management isn’t...
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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
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