A Simple Solution
Today Steve wonders if you have simple solutions you like or complex ones you don't.
Today Steve wonders if you have simple solutions you like or complex ones you don't.
A list of articles in my series on Azure Data Studio along with a few other links.
Three new speakers will be taking to the stage at this year's PASS Data Community Summit for the New Stars of Data Track. Sessions will be delivered by Haripriya Naidu, Vitalija Bartusevičiūtė, and Jarid McKenzie!
In this article, I will cover a bit about the LIKE operator, including how it works, and a bit of history about why it is like it is. After establishing this, I will discuss a bit about how you can (and should) use the LIKE operator in your CHECK constraints to strengthen your data integrity.
Casino Night from SQL Server Central is coming back to the PASS Data Community Summit.
This next article examines the impact of transaction sizes on the performance of our Delta Parquet tables.
This article looks at how you can use event sourcing to maintain persistent and asynchronous communication between microservices.
Steve sees disk drives as shrinking to the point of being invisible to most of us.
Like XML, JSON is an open standard storage format for data, metadata, parameters, or other unstructured or semi-structured data. Because of its heavy usage in applications today, it inevitably will make its way into databases where it will need to be stored, compressed, modified, searched, and retrieved.
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.
By John
If you’ve used Azure SQL Managed Instance General Purpose, you know the drill: to...
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...
Comments posted to this topic are about the item 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
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