Azure

External Article

How to Build Your First SQL Server Virtual Lab in Windows Azure

  • Article

If you are a DBA who hasn't so far dived in head-first into using Azure, it is worth setting up an Azure 'Virtual Lab' environment the easy way, using a template. This will then allow you to experiment, try things out with SQL Azure, and get familiar with Resource Groups. Joshua shows how to build a virtual lab, from the ground up in the first of a series that aims to give you a grounding in Azure.

2017-02-13

5,534 reads

External Article

Taking Azure SQL Data Warehouse for a Test-Drive

  • Article

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.

2016-06-21

4,892 reads

External Article

Comparing Networking Options in Azure

  • Article

What are your options for connecting to an Azure VM? Sure, a Remote Desktop Protocol (RDP) connection will get you started but you'll soon need a full secure VPN connection. Azure can provide three different options for doing this: Point-to-Site (P2S), Site-to-Site (S2S), and ExpressRoute, but what are their relative advantages, and which one is right for the way you need to use Azure?

2016-05-19

3,041 reads

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The string_agg function

By Alessandro Mortola

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Question of the Day

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;

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