Articles

External Article

Power BI for Data Modelling

Power BI has a lot of uses, but one of the most interesting of them is to model and shape data to make it easier for self-service BI. Power BI is a full-stack solution that includes data loading, data modelling, metrics, reporting and distribution. It can take the source data, and perform in-process data modelling relatively easily as well a providing an easy to use and powerful user interface for analytics and reporting.

2016-11-07

4,912 reads

External Article

Is JavaScript Single-Threaded?

Developing JavaScript for web pages can be perplexing. You will get errors that seem to make no sense, You will be given nuggets of advice about how and when you can use JavaScript to manipulate the DOM or make Ajax requests. It is far better to understand the reason for these rules; the single-threaded nature of JavaScript, and how it loads the page and manages the event loop. How can you achieve parallel processing and what is the best way? Igor makes it all clear and obvious.

2016-11-04

3,714 reads

External Article

Azure SQL Data Warehouse: Explaining the Architecture Through System Views

The architecture of Azure SQL Data Warehouse isn't easy to explain briefly, but if you have some useful queries that access the management and catalog views, and diagrams that show how they relate together, you can very quickly get a feel for what is going on under the hood. By using and extending these queries that use these views, you can check on a variety waits, blocking, status, table distribution and data movement in ASDW.

2016-11-01

3,226 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