Cloudbrew 2019 – Slides
Cloudbrew 2019 is over and it was a great event. Great speakers and a big audience. Even in my session there were a lot of attendees, which I found...
2019-12-19
6 reads
Cloudbrew 2019 is over and it was a great event. Great speakers and a big audience. Even in my session there were a lot of attendees, which I found...
2019-12-19
6 reads
It’s T-SQL Tuesday time again! This edition is hosted by Malathi (blog|twitter) and the subject is looking back at the past year. So what do I have to be...
2019-12-10
8 reads
A recent blog on the Power BI website announced the availability of a preview component in Microsoft Flow, which allows to easily refresh a specific dataset. This is good...
2019-10-24
13 reads
A recent blog on the Power BI website announced the availability of a preview component in Microsoft Flow, which allows to easily refresh a specific dataset. This is good...
2019-10-24
181 reads
I’m doing a little series on some of the nice features/capabilities in Snowflake (the cloud data warehouse). In each part, I’ll highlight something that I think it’s interesting enough to...
2019-10-10 (first published: 2019-10-02)
756 reads
I’m doing a little series on some of the nice features/capabilities in Snowflake (the cloud data warehouse). In each part, I’ll highlight something that I think it’s interesting enough to...
2019-10-02
10 reads
At a project, we asked if we could get a SQL Server login/user so we could make a connection from an Apache Airflow pipeline to the SQL Server instance....
2019-09-24
13 reads
At a project, we asked if we could get a SQL Server login/user so we could make a connection from an Apache Airflow pipeline to the SQL Server instance....
2019-09-24
324 reads
Currently I have two conferences in the pipeline. The first is our local DataMinds Connect, the biggest Microsoft data platform conference of the BeNeLux. I’ll be giving a session...
2019-09-12
11 reads
Currently I have two conferences in the pipeline. The first is our local DataMinds Connect, the biggest Microsoft data platform conference of the BeNeLux. I’ll be giving a session...
2019-09-12
4 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