Coping with a working life as an imposter
It is not existing knowledge but the skill of acquiring new knowledge rapidly that will help you overcome imposter syndrome.
2026-05-18 (first published: 2020-09-19)
388 reads
It is not existing knowledge but the skill of acquiring new knowledge rapidly that will help you overcome imposter syndrome.
2026-05-18 (first published: 2020-09-19)
388 reads
Phil Factor explains the enduring attachment of database developers to wildcards, despite their current deficiencies.
2025-03-17 (first published: 2018-12-17)
508 reads
Phil Factor's offers tips for longevity in the world of IT consultancy: listen well, humiliate no-one and convince others that it was their expertise that solved the problem.
2024-12-27 (first published: 2020-01-18)
436 reads
Idempotence is the property of certain operations in mathematics and computer science, that can be applied multiple times without changing the result beyond the first time they are run. When you are making changes to a database to deploy a new version, you need to be sure that certain changes aren’t made twice, or in the wrong order.
2023-10-04 (first published: 2016-12-21)
19,800 reads
Phil Factor looks at some technologists more famous for thwarting progress than for their own creations.
2022-09-02 (first published: 2017-07-17)
321 reads
One of the problems to which I keep returning is finding the best way to read and apply documentation for databases. As part of a series of articles I'm doing for Redgate's Product Learning, I've been demonstrating how to maintain a single source of database documentation, in JSON, and then add and update the object […]
2021-06-28 (first published: 2021-05-28)
3,624 reads
Git has proved to be a better fit to the needs and workflow of a database development team than anything that came before. Git is valuable because it encourages branching and merging, giving more choice in the way that your team can work. Due to the ease with which you can adapt Git, there is […]
2021-04-03
159 reads
Now that we've explored, in preceding levels, some of the information that is available about indexes, triggers, keys and distribution statistics, we can concentrate on the tables themselves and their columns.
2021-01-13 (first published: 2016-12-07)
6,268 reads
Learn how to generate some convincing data for your development databases.
2021-01-05
2,917 reads
2020-12-12
324 reads
By Steve Jones
Redgate is a for-profit company. We look to make money by building and selling...
I’ve uploaded the slides for my Techorama session Microsoft Fabric for Dummies and my...
If you've ever loaded a 2 GB CSV into pandas just to run a...
Comments posted to this topic are about the item Even When You Know What...
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...
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