gdpr - panic part 4
In the first part of this series, we looked at where to find out more information about GDPR in the...
2018-02-08
114 reads
In the first part of this series, we looked at where to find out more information about GDPR in the...
2018-02-08
114 reads
In the first part of this series, we looked at where to find out more information about GDPR in the...
2018-02-08
101 reads
In the last half of 2017, I decided to run a tSQLt course and went down the route of putting together a free 12-week email course. The intention was...
2018-02-06
6 reads
In the last half of 2017, I decided to run a tSQLt course and went down the route of putting...
2018-02-06
292 reads
In the last half of 2017, I decided to run a tSQLt course and went down the route of putting...
2018-02-06
239 reads
Re-Imagining the SSIS development environment.
oooh:
ahhh:
SSIS is a powerful and versatile tool for extracting, transforming and loading data into or out of SQL Server. The development environment, BIDS...
2018-02-04
4 reads
Re-Imagining the SSIS development environment.
oooh:
ahhh:
SSIS is a powerful and versatile tool for extracting, transforming and loading data into or out...
2018-02-04
513 reads
Re-Imagining the SSIS development environment.
oooh:
ahhh:
SSIS is a powerful and versatile tool for extracting, transforming and loading data into...
2018-02-04
88 reads
Re-Imagining the SSIS development environment.
oooh:
ahhh:
SSIS is a powerful and versatile tool for extracting, transforming and loading data into...
2018-02-04
85 reads
GDPR is coming (or if you are reading this in a few weeks then gdpr is here, what do you need to know and where do you start?
This post...
2018-02-01
8 reads
By Steve Jones
Redgate is a for-profit company. We look to make money by building and selling...
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...
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