Metadata Driven Pipelines (Incremental Load): The Fabric Modern Data Platform
This article will use the incremental data load pattern to load data in our raw zone tables.
2025-12-10
277 reads
This article will use the incremental data load pattern to load data in our raw zone tables.
2025-12-10
277 reads
2025-12-05
66 reads
In this next article on the Fabric Modern Data Platform, we examine setting up an on-premises gateway.
2025-12-09 (first published: 2025-11-26)
1,533 reads
The data professional’s world is changing and I know you hear this from me in editorials, blogs posts and social media, but it’s the truth. With the rise of Microsoft Fabric, we’re not just seeing another platform shift; we’re witnessing a redefinition of how data is valued, governed, and protected across the enterprise. Fabric isn’t […]
2025-07-22
232 reads
In this next article, we are going to explore how to install, configure and use the command line to manage a couple different Fabric Lakehouse’s.
2025-06-04
1,460 reads
Building pipelines in Microsoft Fabric can be complicated, and it's easy to write code that is hard to maintain. Using parameters in your connections helps to build pipelines that are easily configured.
2025-07-04 (first published: 2025-06-02)
4,496 reads
With the popular data transformation tool dbt (data build tool), we have a bunch of interesting features at our disposal to write SQL more efficiently. One of those features is macros, which we’ll introduce in this article
2025-05-28
This next level of the Stairway to Synapse Analysis Services looks at the Dedicated SQL Pool.
2025-06-06 (first published: 2025-05-07)
640 reads
The article A gentle introduction to dbt explains how you can get dbt in the cloud version, how you can set up a free account, and how to create a connection to a Microsoft Fabric warehouse.
2025-04-30
2025-11-25 (first published: 2025-04-16)
1,502 reads
By Steve Jones
Superheroes and saints never make art. Only imperfect beings can make art because art...
One feature that I have been waiting for years! The new announcement around optimize...
Following on from my last post about Getting Started With KubeVirt & SQL Server,...
Comments posted to this topic are about the item The AI Bubble and the...
Hi, in a simple oledb source->derived column->oledb destination data flow, 2 of my...
hi, i noticed the sqlhealth extended event is on by default , and it...
I am currently working with Sql Server 2022 and AdventureWorks database. First of all, let's set the "Read Committed Snapshot" to ON:
use master; go alter database AdventureWorks set read_committed_snapshot on with no_wait; goThen, from Session 1, I execute the following code:
--Session 1 use AdventureWorks; go create table ##t1 (id int, f1 varchar(10)); go insert into ##t1 values (1, 'A');From another session, called Session 2, I open a transaction and execute the following update:
--Session 2 use AdventureWorks; go begin tran; update ##t1 set f1 = 'B' where id = 1;Now, going back to Session 1, what happens if I execute this statement?
--Session 1 select f1 from ##t1 where id = 1;See possible answers