The concept of a synonym was introduced in SQL Server 2005. Synonyms are very simple database objects, but have the potential to save a lot of time and work if implemented with a little bit of thought. This article discusses what exactly a synonym is, and a few examples of how to use them.
You can mould PowerShell to the way you want to work, with all the settings and modules that you require, by using the profiles. Profiles are PowerShell scripts that run at startup, and once you have understood where they are and when each is used, they have a whole range of uses that make using PowerShell a lot more convenient.
R Services were added to SQL Server 2016, and there are customers using this feature to improve their business processes.
Performance tuning is a creative process which requires a lot of attention and manual work. SQL Server 2016's Query Store makes some of this work much easier, but what if you're using an earlier version? Fikrat Azizov shows how to automate assessing SQL Server query performance changes by using custom performance collection tools and reports.
In this article Greg Larsen explores using the temporal table feature of SQL Server 2016 to create a history table for an existing SQL Server table.
Larry Page is a very interesting person, one that is looking to change the world.
In this first part to looking at deploying SSIS packages to new environments, Andy Leonard looks at a few options for migrating your work to a new instance.
Azure SQL Data Warehouse uses SQL to query the data, but there are some differences to SQL Server's dialect of TSQL, and queries don't necessarily work in the same way. DBAs are also required to use SSDT to access Azure SQL Data Warehouse. It is worth taking the time to try the preview of the product, and take it for a 'spin around the block', following Robert Sheldon's walk-through.
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...
By Steve Jones
Recently I ran across some code that used a lot of QUOTENAME() calls. A...
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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