Articles

External Article

Exploration of SQL Server 2016 Always Encrypted – Part 2

It is important to only allow authorized individuals access to confidential data. Therefore when setting up an Always Encrypted table it is important to consider splitting configuration tasks between multiple individuals/groups to improve security. Follow Greg Larsen as he shows how to setup up SQL Server Always Encrypted tables where database administrators can’t see the clear text confidential data.

2016-01-06

4,919 reads

External Article

The Boardgame of Office Politics

Sometimes the stress of interdepartmental friction within organisations can get on top of you, especially between the business and IT when the going gets tough. Simple-Talk's answer is a board game to put it all into perspective. Instead of getting carried away, play the board game instead and reach catharsis.

2016-01-04

2,372 reads

External Article

The PoSh DBA - Using the Basic PowerShell Paradigms

PowerShell is like any computer language: you must understand the paradigms, the constructs, and the way it is designed to work to get the most value from it. It is no good just translating 'sausage-string' procedural algorithms. To demonstrate how Powersahell should be used as its' creators intended, Laerte Junior shows the difference between PowerShell problem-solving with, and without, PowerShell paradigms.

2016-01-01

6,637 reads

External Article

Declarative SQL: Using UNIQUE Constraints

In SQL, you can express the logic of what you want to accomplish without spelling out the details of how the database should do it. Nowhere is this more powerful than in constraints. SQL is declarative, and Joe Celko demonstrates, in his introduction to Declarative SQL, how you can write portable code that performs well and executes some complex logic, merely by creating unique constraints.

2015-12-29

6,430 reads

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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;

See possible answers