2009-03-09
3,505 reads
High Availability (HA)
Using Partitioned Tables with Multiple Filegroups for High Availability
Let us look at another means to increase the availability of your highly critical databases. We will extend the concept of filegroups as highlighted in a previous tip on Disaster Recovery Procedures in SQL Server 2005 Part 2 (Isolating Critical Objects) wherein we can use filegroups to isolate and store a critical object.
2008-11-20
3,127 reads
SQL Server 2005 log shipping setup using the wizard
Along with some best practices, SQL Server MVP Hilary Cotter shares a log shipping setup process from start to finish.
2008-04-22
2,862 reads
High Availability (DR) Using SQL Server 2005 Transactional Replication
One of the four high availability technologies in SQL Server is replication, though this can be very cumbersome to setup and get working. Longtime author Paul Ibison looks at how this has changed from SQL Server 2000 to 2005 and what you should consider before setting this up.
2008-04-17
7,790 reads
2007-10-17
2,320 reads
A Look at Database Mirroring
One of the more interesting new technologies in SQL Server 2005 is database mirroring, allowing you to implement high availability on a database with commodity hardware. Jay Dave brings us a nice description of this technology.
2008-06-18 (first published: 2007-07-17)
15,588 reads
Mirrored Backups
One very interesting new feature in SQL Server 2005 is the ability to run backups to multiple locations, ensuring you have a second copy of the backup file if your first one were to be corrupted. SQL Server expert Andy Warren takes a look at how this feature works and the implications of using it.
2008-05-12 (first published: 2007-06-12)
8,478 reads
Using SQL Server 2005 Database Snapshots
In this presentation, Brian shows you how you can use database snapshots for data protection. He shows you how to create a snapshot, read from it and lastly how to do a database recovery from the snapshot.
2006-09-27
2,767 reads
Blogs
T-SQL Tuesday #192: What career risks have you taken?
By James Serra
I’m honored to be hosting T-SQL Tuesday — edition #192. For those who may...
AI: Blog a Day – Day 3: LLM Models – Open Source vs Closed Source
By Vinay Thakur
Continuing from Day 2 , we learned introduction on Generative AI and Agentic AI,...
How to Parameterize Fabric Linked Services in Azure Data Factory for Azure Devops Deployment
Quite the title, so let me set the stage first. You have an Azure...
Forums
Rollback vs. Roll Forward
Comments posted to this topic are about the item Rollback vs. Roll Forward
Foreign Keys - Foes or Friend?
Comments posted to this topic are about the item Foreign Keys - Foes or...
Fun with JSON I
Comments posted to this topic are about the item Fun with JSON I
Question of the Day
Fun with JSON I
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