Faster Data Engineering with Python Notebooks: The Fabric Modern Data Platform
In this next article on the Fabric Modern Data Platform, we use the Polars library in Python to improve our data engineering.
2026-01-14
1,032 reads
Microsoft Fabric (Azure Synapse, Data Engineering, etc.)
Using Python notebooks to save money in Fabric: The Fabric Modern Data Platform
In this next article, we look at how notebooks using Python can be cheaper than Spark notebooks.
2026-01-07
1,998 reads
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
612 reads
2025-12-05
94 reads
Configuring the On-Premises Data Gateway: The Fabric Modern Data Platform
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)
1,816 reads
How Microsoft Fabric Is Reshaping Data Value
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
239 reads
Managing Fabric Lakehouse objects with the new CLI: Data Engineering with Fabric
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
1,512 reads
Parameterize Connections in Microsoft Fabric Data Factory using Variable Libraries
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)
4,819 reads
How to Load a Date Dimension in Microsoft Fabric using Macros in dbt?
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
Level 6 of the Stairway to Synapse Analytics: Dedicated SQL Pool
This next level of the Stairway to Synapse Analysis Services looks at the Dedicated SQL Pool.
2025-06-06 (first published: 2025-05-07)
650 reads
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Faster Data Engineering with Python Notebooks: The Fabric Modern Data Platform
Comments posted to this topic are about the item Faster Data Engineering with Python...
Which Result II
Comments posted to this topic are about the item Which Result II
Question of the Day
Which Result II
I have this code in SQL Server 2022:
CREATE SCHEMA etl;
GO
CREATE TABLE etl.product
(
ProductID INT,
ProductName VARCHAR(100)
);
GO
INSERT etl.product
VALUES
(2, 'Bee AI Wearable');
GO
CREATE TABLE dbo.product
(
ProductID INT,
ProductName VARCHAR(100)
);
GO
INSERT dbo.product
VALUES
(1, 'Spiral College-ruled Notebook');
GO
CREATE OR ALTER PROCEDURE etl.GettheProduct
AS
BEGIN
exec('SELECT ProductName FROM product;')
END;
GO
exec etl.GettheProduct
When I execute this code as a user whose default schema is dbo and has rights to the tables and proc, what is returned? See possible answers