From an IT infrastructure and compliance perspective, the importance of protecting data is clear. But it also has profound business implications and can even be a competitive differentiator by helping drive customer loyalty and retention. David Hobbs-Mallyon talks about Microsoft’s approach to data security.
2016-02-02
3,545 reads
Learn a quick method to find and remove duplicate records in your SQL Server tables.
2016-02-01
9,789 reads
When starting out with PowerShell, it is hard to escape from the detail to work out the best strategy for creating scripts. Laerte Junior explains how, when and why it pays to think in terms of versatile functions to meet varying demands.
2016-02-01
3,169 reads
This article talks about using the statistical program, R, for applying simple statistics against data in Microsoft SQL Server.
2016-01-29 (first published: 2014-03-10)
13,777 reads
One of the most important features of the SQL Server 2016's new Query Store is the reporting. With these features, it is now possible to get a wealth of information on how your query workload is performing, either aggregated for the entire query workload or for a single query. With this information, you can see the effects of 'forcing' an execution plan for specific queries and get feedback of the consequences.
2016-01-29
4,359 reads
rsNeatPublish: Toolset to automate deployment of all SSRS 2008R2/12/14/16 objects
2016-01-28
670 reads
Tim Smith shows how using PowerShell can be an effective way to track SQL Server snapshot and transactional replication counts for sources and destinations.
2016-01-28
3,231 reads
2016-01-27
232 reads
We suspect there are some issues with our disk subsystem and would like to be alerted by email if SQL Server encounters any corruption in any of the data files that reside on the disk in question. How can we add this automated monitoring?
2016-01-27
2,241 reads
SQL is unusual is that data is not passively stored. Instead you use declarative SQL to specify the rules that underlie the data and its integrity. When used properly, constraints can avoid having to provide a lot of logic elsewhere. CHECK() and DEFAULT can do a lot to ensure that your data is correct
2016-01-26
4,314 reads
By Steve Jones
Redgate is a for-profit company. We look to make money by building and selling...
I’ve uploaded the slides for my Techorama session Microsoft Fabric for Dummies and my...
If you've ever loaded a 2 GB CSV into pandas just to run a...
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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