Data Load Optimisation using the SSIS Balanced Data Distributor
Optimize SSIS data loads using parallel processing and the Balanced Data Distributor
2015-07-02
7,567 reads
Optimize SSIS data loads using parallel processing and the Balanced Data Distributor
2015-07-02
7,567 reads
Challenges with integrating MySQL data in an ETL regime and the Amazing FMTONLY trick!
2015-06-25
3,805 reads
2015-05-12
1,589 reads
In this piece by Pilip Horan, learn how to create an SSIS catalog and run a project as a SQL Agent Job.
2017-01-06 (first published: 2015-05-11)
16,457 reads
Learn how you can dynamically name a file in SSIS and then send it using the FTP task.
2015-05-04
9,240 reads
Say you have a SQL Server Integration Services (SSIS) package with a Foreach Loop container. Inside that container you have a task that sometimes can fail. Koen Verbeeck provides a tip on how to implement SSIS so that, if it fails, the loop will just continue, skip the current step and go to the next iteration.
2015-04-23
7,361 reads
Learn how to use SSIS to load Delimited Flat Files to staging tables.
2016-07-01 (first published: 2015-04-20)
12,828 reads
2015-02-12
1,865 reads
The Project Deployment Model introduced in SSIS 2012 speeds up the deployment of database projects in which there may be hundreds of SSIS packages per project. Not only that, but deployments can be configured differently for each environments such as test and staging, and there are now ways of monitoring the status and performance of packages and of versioning the SSIS Catalog.
2014-11-26
7,422 reads
It used to be that SQL Server Integration Services (SSIS) packages had to be deployed individually. Now, they can be all deployed together from a single file by means of the Project Deployment Model introduced in SSIS 2012. Where there are tens or hundreds of SSIS packages to deploy, this system is essential.
2014-11-17
8,447 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