Articles

External Article

Managing the Big Data Technical Staff

Big data is everywhere, and most large IT enterprises have installed one or more big data applications. These applications provide fast access to large stores of data, usually customer or sales data. Your technical staff that supports these applications and the systems that analyze and consume the data didn't exist ten years ago. Who are these new IT professionals, and how should you manage them?

2015-02-03

8,327 reads

Technical Article

SQL Saturday #374 - Austria

SQL Saturday is holding its first event in Vienna on February 28, 2014. With over 20 sessions on SQL Server, the event is aimed at all those interested in SQL Server - from pros to beginners. Register while space is available.

2015-02-03

6,169 reads

SQLServerCentral Article

Expediency versus Best Practice!

Rumour has it that some grand old houses in the British Isles may be haunted. A SQL Server consultant spends a night in such a house musing over the use of T-SQL versus SSIS. The story is entirely fictitious and the article has been written pro bono and dedicated to the SQL Server community. For its interest, amusement and imagination.

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2015-02-02

3,168 reads

External Article

How to get ETL Horribly Wrong

ETL ( Extract, transform, load) doesn't have to be like a spell on hell. To make a success of ETL systems, you need the freedom and ability to make graceful U-turns when you detect a mistake in architecture or configuration: to fix the root problem rather than to merely tackle the symptoms. Feodor lists the eight most common root causes of failure in ETL systems, and how to fix them.

2015-01-30

13,243 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