Integration Services Logging Levels in SQL Server 2016
At the time of writing, SQL Server 2016 preview (CTP 2.3) has been released and there are some changes for the Integration Services (SSIS) Catalog logging levels.
2015-10-15
3,310 reads
At the time of writing, SQL Server 2016 preview (CTP 2.3) has been released and there are some changes for the Integration Services (SSIS) Catalog logging levels.
2015-10-15
3,310 reads
2015-10-14
293 reads
A quick tip to help you get the most out of SQL Prompt.
2015-10-14 (first published: 2012-05-01)
1,672 reads
One of the benefits of using Azure-based Platform-as-a-Service and Software-as-a-Service offerings, is considerably quicker access to newly developed capabilities. In this article Marcin Policht focuses on row-level security, included in both Azure SQL Database V12 and SQL Server 2016 Community Technology Preview 2 (CTP2).
2015-10-14
3,552 reads
Learn how to find who has changed permissions from the default trace
2015-10-13
12,115 reads
This technical article will cover in depth SQL Server 2014 Data Files on Azure Blob storage service, starting from step-by-step configuration
2015-10-13
2,489 reads
I have heard the new Power BI Desktop can screen scrape data off websites; how does that process work?
2015-10-12
3,473 reads
Observing an index seek utilizing a composite index within SQL execution plan might be more than meets the eye – you should look again.
2015-10-09 (first published: 2013-08-12)
14,504 reads
Measures such as using special characters and numbers within a password are of little use to security if passwords are then stored in an insecure way. Sergey Gigoyan explains how to encrypt and store passwords in a SQL Server database.
2015-10-09
5,878 reads
There is plenty that is novel and perhaps foreign to a new R user, but it's no reason to abandon your hard-earned SQL skills! In this article, Casimir Saternos explains that not only can you easily retrieve data from SQL Sources for analysis and visualisation in R, but you can also use SQL to create, clean, filter, query and otherwise manipulate datasets within R, using a wide choice of relational databases.
2015-10-08
6,620 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