As part of Simple-Talk's long-running Cribsheet series, they asked William Brewer to write a guide to deployment that described in general terms what is involved in the deployment of a database application, and the sort of issues you're likely to come up against.
There is a certain paradox in being advised to expect the unexpected, but the DBA must plan and prepare in advance to protect their organisation's data assets in the event of an unexpected crisis, and return them to normal operating conditions. To minimise downtime in such circumstances should be the aim of every effective DBA. To plan for recovery, It pays to have the mindset of a pessimist.
Security is a concern in the cloud, but should it be your number one concern? Steve Jones notes that business continuity might be a bigger issue.
Functionality to help maintain a Disaster/Recovery (D/R) Environment synchronized with production is introduced and the associated challenges are discussed.
There are some skills which are extensions of your instincts, and which you can only learn though years of experience. Matt Simmons has this brought home by the fact that he was recently minutes away from a data-loss disaster, and he doesn't quite know how he prevented it.
A disaster can easily lead to another disaster. Can you respond to multiple problems? Have you even considered the cascade effects of a large disaster?
A real world account of disaster recovery. (This article is being republished after the recent hurricane that hit the US East Coast).
The backup and restore system in SQL Server hasn't changed a great deal over the years despite a huge growth in the typical size of databases. When disaster strikes, and an important service is taken offline while a restore is performed, there is often time to reflect on whether it might be possible to design databases for a more rapid recovery of the most critical parts of a database application.
A suggested design for creating flight schedules makes querying easy. Includes basic airport and airlines data. Get started now with this tricky query problem.
Part of an effective response to a disaster situation is practice and testing of your skills and procedures. Steve Jones reminds us this is important today.
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
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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