2013-04-18 (first published: 2013-04-05)
1,463 reads
2013-04-18 (first published: 2013-04-05)
1,463 reads
The most critical task for all DBAs is to have a Backup and Recovery strategy that ensures, every day, that in the event of a disaster they can restore and recover any database, within acceptable limits for data loss and downtime. Even with all the required backups in place, it's easy to miss subtle failings in the overall plan that can, and eventually will, defeat your recovery plans.
2013-01-28
2,889 reads
Developing a backup procedure that makes sure you can do restores should be one of your top priorities as a DBA. In this article Greg Larsen discusses some of the concepts to consider when developing, building and testing a backup strategy.
2013-01-14
3,298 reads
During presentations about doing database backups and restores, there seem to be two two types of questions that are commonly asked, Those that come from the floor during the presentation, and those that are asked in private afterwards. These are sometimes more interesting, and challenging to answer well.
2012-12-11
3,466 reads
2012-12-07 (first published: 2012-11-19)
1,390 reads
You can download a free eBook from SQLServerCentral and Red Gate software on the most important task a SQL Server DBA or developer needs to understand.
2013-01-25 (first published: 2012-10-23)
12,771 reads
Grant takes a humorous (but completely serious) look at why you should be regularly verifying your backups. Get top tips for backup and recovery, and protect yourself when disaster strikes. Watch the video
2012-09-21
2,886 reads
Shawn McGehee discusses partial backups, how they're used, and how to avoid potential problems when restoring from a partial backup.
2012-05-15
3,016 reads
2012-02-21
2,429 reads
The majority of companies that suffer a major data loss subsequently go out of business. Wesley David remembers vividly the day when the organisation he worked for found that they couldn't restore their data, and the subsequent struggles that ensued. Shoulda-woulda-coulda.
2012-02-20
4,949 reads
If you've ever loaded a 2 GB CSV into pandas just to run a...
By James Serra
What problem is Fabric Ontology trying to solve? For years, most data conversations have...
By Steve Jones
Recently I ran across some code that used a lot of QUOTENAME() calls. A...
Comments posted to this topic are about the item The New Software Team
Comments posted to this topic are about the item Database Mail in SQL Server...
Comments posted to this topic are about the item The string_agg function
We create the following table and then insert some records in it:
create table t1 ( id int primary key, category char(1) not null, product varchar(50) ); insert into t1 values (1, 'A', 'Product 1'), (2, 'A', 'Product 2'), (3, 'A', 'Product 3'), (4, 'B', 'Product 4'), (5, 'B', 'Product 5');What happens if we execute the following query in both Sql Server and PostgreSQL?
select id,
category,
string_agg(product, ';')
over (partition by category order by id
rows between unbounded preceding and unbounded following) as stragg
from t1; See possible answers