Backup Directly to a GCS Bucket in SQL Server 2022
Learn how you can back up your SQL Server 2022 databases to Google Cloud Storage.
2023-01-30
4,874 reads
Learn how you can back up your SQL Server 2022 databases to Google Cloud Storage.
2023-01-30
4,874 reads
In this article, we cover how to encrypt a SQL Server stored procedure and how SQL Server hides the source code for these objects once encrypted.
2023-01-30
We need to monitor our servers, but individual metrics have more complexity than just setting simple limits for their readings.
2023-02-06 (first published: 2023-01-30)
322 reads
Today Steve encourages everyone to feel welcome in the data professional community.
2023-01-27
117 reads
In this article, we look at how to setup and configure Contained Availability Groups in SQL Server 2022 and some of the new options this feature allows.
2023-01-27
Facebook isn't sure where all your personal data is stored. Are you sure your organization is any different?
2023-01-25
105 reads
In part 3 of this series, see how you can use the principles from the series to build an Azure Data Factory pipeline.
2023-01-25
5,754 reads
Let’s talk about authentication between Azure Functions and resources used by Azure Functions and conclude with many poorly documented secrets about how to use User Assigned Managed Identity.
2023-01-25
This article shows how you can use an R script to import data into Power BI.
2023-01-23
2,068 reads
Removing data from your systems isn't as easy as you might think. It is especially important to be aware when you are doing this for compliance.
2023-01-23
209 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...
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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