Empowering Lakehouse Users – Data Engineering with Fabric
Learn how to use the OneLake Explorer and Data Wrangler extension in VS Code to empower users to work with data in Microsoft Fabric.
2024-05-22
1,811 reads
Learn how to use the OneLake Explorer and Data Wrangler extension in VS Code to empower users to work with data in Microsoft Fabric.
2024-05-22
1,811 reads
We experienced several unplanned outages and failovers on our SQL Server Always On Availability Groups. We want to know the root cause to prevent them from happening in the future. How do we identify the root causes of unplanned Availability Group outages and failovers?
2024-05-22
This article includes an overview of how big data and Artificial Intelligence (AI) models work together.
2024-05-20
1,094 reads
The first two articles in this series demonstrated how PostgreSQL is a capable tool for ELT – taking raw input and transforming it into usable data for querying and analyzing. We used sample data from the Advent of Code 2023 to demonstrate some of the ELT techniques in PostgreSQL.
2024-05-20
This article continues my series on ADS and examines the SQL Agent extension.
2024-05-17
2,033 reads
Learn how to fix replication error the row was not found at the Subscriber when applying the replicated UPDATE command for Table with Primary Key(s).
2024-05-17
This next article in the series creates objects at the gold layer for consumption by combining tables from the silver layer of the lake house.
2024-05-15
3,396 reads
In the first part of this two-part series, I covered the mostly non-technical aspects of building a data culture. While the lion’s share of the work will be getting people to work together and embrace ever deeper use of data, as a reader of Simple-Talk, a lot of this transition will be technical.
2024-05-15
Microsoft will be presenting a number of sessions at the PASS Data Community Summit 2023. Read about their plans for the event and register to come if you can.
2024-05-14 (first published: 2023-11-03)
307 reads
This article shows how one can run a machine learning activity in an Azure Data Factory (ADF) pipeline.
2024-05-13
1,113 reads
By Ed Elliott
Running tSQLt unit tests is great from Visual Studio but my development workflow...
By James Serra
I remember a meeting where a client’s CEO leaned in and asked me, “So,...
By Brian Kelley
If you want to learn better, pause more in your learning to intentionally review.
Hello SSC, Has anyone encountered this before??? I have an odd issue that I...
Hello team Can anyone share popular azure SQL DBA certification exam code? and your...
Comments posted to this topic are about the item Faster Data Engineering with Python...
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