Many companies now have a requirement to keep data for long periods of time. While this data does have to be available if requested, it usually does not need to be accessible by the application for any current transactions. Data that falls into this category are a good candidate for archival.
This is the method that Geoff Albin has used for years to monitor the CPU on his SQL Servers.
This Friday Steve Jones talks about training and employers, and who has the responsibility for your knowledge? Let us know if you think your employer shares the burden with you.
This white paper describes how to export master data from Microsoft SQL Server Master Data Services (MDS) using a subscription view, and how to import the master data into an external system using SQL Server Integration Services (SSIS). The white paper provides a step-by-step sample for creating a subscription view and an SSIS package.
A helpful guide to writing technical papers by focusing on the non-technical elements.
Steve Jones talks about the improvements in Hyper-V in Windows Server 2012. These days there isn't a good reason to avoid considering virtualization for SQL Servers.
SQL Server's 'Semantic Search' feature seemed an exciting feature when first shown. Was it really true that Microsoft had come up with a system to rival the industry-leaders, one that could extract the contextual meaning of terms in text, or automatically categorise the subject matter of text? On first inspection, it seems unlikely.
There always seem to be more and more instances to manage, but not more and more staff. Steve Jones talks about the key to good management being delegation of the work.
The modify method lets you manipulate XML data using XML DML. It can insert, alter or delete data. In this level, Robert shows how to use the method to insert a node into an XML instance.
By Brian Kelley
I will be leading an in-person Certified Information Systems Auditor (CISA) exam prep class...
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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