Making Sense of the Power BI Ecosystem Presentation Materials
I just wrapped up my first presentation on Making Sense of the Power BI Ecosystem at SQL Saturday #755 in...
2018-06-09
356 reads
I just wrapped up my first presentation on Making Sense of the Power BI Ecosystem at SQL Saturday #755 in...
2018-06-09
356 reads
I’m speaking at two upcoming events that I wanted to share with you! My topic is Monitoring and Tuning Azure...
2018-04-20
297 reads
A customer of mine is in the midst of a proof of concept using SQL Server and Power BI. During...
2018-01-30
1,135 reads
2017 was an awesome year for SQLDusty.com! Thank you to all of the readers and visitors that stopped by to...
2018-01-29
389 reads
A while back you may have caught my blog post introducing the Power BI Chat Bot 9000. Since posting that...
2018-01-02 (first published: 2017-12-12)
1,331 reads
The Data Migration Assistant is a great tool developed to assess your SQL Server environment for a migration to a...
2017-12-06
969 reads
At some point this weekend, the Microsoft Power BI folks turned on the drill-through feature in the Power BI service....
2017-09-03
1,663 reads
Late last month Microsoft released the certification exam for Power BI, 70-778: Analyzing and Visualizing Data with Microsoft Power BI....
2017-08-23
1,042 reads
So I’ve been working on a fun little project over the past couple weeks. A lot of my customers have...
2017-08-18
503 reads
For the past few years I’ve combined my love of professional football and analytics by releasing a series of Power...
2017-08-17 (first published: 2017-07-28)
3,451 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...
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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