2014-10-09
30,291 reads
Integration Services (SSIS)
Importing Excel Data into SQL Server Via SSIS: Questions You Were Too Shy to Ask
Retrieving data from Excel, and importing it into SQL Server hasn't the same appeal or glamour as, for example, performing heroics with ill-performing queries. This could be why one hesitates before asking questions about how to do it. Rob Sheldon calms your private doubts and fears by answering those embarrassing questions.
2014-09-23
11,784 reads
More Text Analysis with the SSIS Term Lookup Component
As mentioned before, we will use the same use case in this tip as used with the Term Extraction component, which is an archive of all my tweets I've downloaded from Twitter. Using this archive and the Term Extraction transformation I found out which topics I particularly tweeted about in the past years or which persons I mentioned the most.
2014-09-01
7,063 reads
A tour of the Execute Package Task
Introduces modular programming with the Execute Package task, and shows bi-directional parameter passing.
2019-05-07 (first published: 2014-07-24)
1,950 reads
Developing a Custom SSIS Source Component
SSIS was designed to be extensible.Although you can create tasks that will take data from a wide variety of sources, transform the data is a number of ways and write the results a wide choice of destinations, using the components provided, there will always be occasions when you need to customise your own SSIS component.
2014-07-17
13,344 reads
2014-07-09
2,090 reads
Semi-blocking Transformations in SQL Server Integration Services SSIS
In a SSIS data flow, there are multiple types of transformations. On one hand you have synchronous and asynchronous transformations, but on the other hand you have non-blocking, semi-blocking and fully-blocking components. In this tip, Koen Verbeeck takes a closer look on the performance impact of semi-blocking transformations in SSIS.
2014-06-03
2,743 reads
2014-05-28
1,655 reads
Improve SSIS data flow buffer performance
In this tip we have a very simple data flow using a source query with a predictable duration. The data flow takes longer to process all the rows and even larger buffers didn't make the problem go away. What can be the cause of this and how do we solve this? Koen Verbeeck explains.
2014-05-08
4,049 reads
How to create an SSIS conditional data flow task
This article demonstrates how to selectively channel records from a flat-file data source to separate destination tables in an SSIS package using a combination of multicast, data-conversion and conditional-split data flow transformation elements within a data flow task.
2014-04-10
17,831 reads
Blogs
The Book of Redgate: Profits
By Steve Jones
Redgate is a for-profit company. We look to make money by building and selling...
Session Materials for Techorama & DataGrillen 2026
I’ve uploaded the slides for my Techorama session Microsoft Fabric for Dummies and my...
Stop Using Pandas for Aggregations — Try DuckDB Instead
If you've ever loaded a 2 GB CSV into pandas just to run a...
Forums
Even When You Know What You're Doing, You Can Screw Up
Comments posted to this topic are about the item Even When You Know What...
The New Software Team
Comments posted to this topic are about the item The New Software Team
Database Mail in SQL Server 2022
Comments posted to this topic are about the item Database Mail in SQL Server...
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