Sharing Your Scripts - Made Easy
Windows PowerShell v2 introduces self-contained “modules,” making it easier to share scripts with reusable functions, custom format views or type extensions.
Windows PowerShell v2 introduces self-contained “modules,” making it easier to share scripts with reusable functions, custom format views or type extensions.
A free one day training event from SQL Saturday and the Pensacola SQL Server groups. Come join Steve Jones and Brad McGehee if you are in the area on Jun 5, 2010.
A new technique to help anonymize medical research data has been developed, and could help with other types of data, but there is an issue.
Sending a large volume of emails can put a strain on a mail relay server. However many people using SQL Server will need to do just that for things like newsletters, mailing lists, etc. Satnam Singh brings us a way to spread out the load by sending newsletters in multiple batches instead of one large process.
In this workbench, Robyn Page provides a gentle introduction to the use of dates in SQL Server. In this new version of her article, it is brought up to date with the newer Datetime features in SQL Server 2005 and 2008.
This year SQLServerCentral is sponsoring another track at the SQL Connections conference in Las Vegas.
In a sequel to his first article on Time Bomb Design, David Poole examines the issues we find between development environments and production ones.
If you will be in London on June 17th, this is an event you do not want to miss.
In Part IV of the Geo-Spatial series, an interactive dashboard is developed to present and interact with the data.
A technique from Bill Nicolich that allows you to target columns by data type for the same custom expression and easily build complex queries.
By Steve Jones
Redgate is a for-profit company. We look to make money by building and selling...
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...
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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