In an Azure SQL Database, you pay for a certain number of DTUs, but what are these? Steve Jones explains.
It’s still a bit hard to believe that SQL Server will soon run on Linux. If you think back to the early days of SQL 7, 2000, even 2005, who would have bet any money on it ever happening?
With the rise of NoSQL databases that are exploiting aspects of SQL for querying, and are embracing full transactionality, is there a danger of the data-document model's hierarchical nature causing a fundamental conflict with relational theory? We asked our relational expert, Hugh Bin-Haad to expound a difficult area for database theorists.
Today Steve Jones wonders if any of you are looking at the next version of our platform, SQL Server 2016.
As well as its multidimensional model, SQL Server Analysis Services (SSAS) now has a tabular model of database that either runs in-memory or in DirectQuery mode. The in-memory analytics engine allows the users of Excel or Power View to base reports on tabular model objects. Having shown how to handle date-based information using the Multi-dimensional model, Dennes now turns his attention on the in-memory tabular model.
Today we have a guest editorial from Andy Warren that asks if the rest of you are intimidated by PowerShell.
The SSIS Script Task allows you to add functionality to your SSIS package that does not already exist with the other predefined tasks. In this article, Daniel Calbimonte looks at how to get started using the SSIS Script Task with a few examples.
It's possible to perform a man-in-the-middle attack against SQL Server. Steve Jones notes you should be aware these attacks could take place inside of your network.
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...
Comments posted to this topic are about the item The New Software Team
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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