How Big Data Supports Gen AI
This article includes an overview of how big data and Artificial Intelligence (AI) models work together.
This article includes an overview of how big data and Artificial Intelligence (AI) models work together.
Steve has a few thoughts on Kubernetes and how much data professionals should care about the technology.
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.
Or for short, “Why you have to play the game” “Don't tell me the odds”, cried out Han Solo just before doing something that seemed impossible. How on Coruscant did he do that? Well, as a certain director said about a certain floating door in a galaxy we all call home. ”It was in the […]
This article continues my series on ADS and examines the SQL Agent extension.
Steve thinks the DBA job is evolving and we will always need people to manage data.
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).
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.
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.
With Fabric Mirroring, Microsoft is promoting a nice and appealing story for operational reporting...
If you’ve been watching AI roll through the data community and thinking, “this seems...
By Arun Sirpal
Not every production incident is a database in RECOVERY_PENDING or a corrupted event (like...
Comments posted to this topic are about the item SQL Art, Part 4: Happy...
Hi All I am trying to find 'bad' characters that users might type in....
Comments posted to this topic are about the item Extreme DAX: Take your Power...
I set up a few users on my SQL Server 2022 instance.
CREATE LOGIN User1 WITH PASSWORD = 'Demo12#1' CREATE USER User1 FOR LOGIN User1 GO CREATE LOGIN User2 WITH PASSWORD = 'Demo12#2' CREATE USER User2 FOR LOGIN User2 GO CREATE LOGIN User3 WITH PASSWORD = 'Demo12#3' CREATE USER User3 FOR LOGIN User3 GOI then created a schema that one of them owned. Under this schema, I added a table with some data.
CREATE SCHEMA MySchema AUTHORIZATION User1
GO
CREATE TABLE Myschema.MyTable(myid INT)
GO
INSERT MySchema.MyTable
(
myid
)
VALUES
(1), (2), (3)
GO
SELECT * FROM MySchema.MyTable
GO
I granted rights and verified that User2 could access this table.
GRANT SELECT ON Myschema.MyTable TO User2 GO SETUSER 'USER2' GO SELECT * FROM MySchema.MyTable GOThis worked. Now, I move this schema to a new user.
ALTER AUTHORIZATION ON SCHEMA::Myschema TO User3; GOWhat happens with this code?
SETUSER 'USER2' GO SELECT * FROM MySchema.MyTable GOSee possible answers