External Article

Scala and Apache Spark in Tandem as a Next-Generation ETL Framework

Scala and Apache Spark might seem an unlikely medium for implementing an ETL process, but there are reasons for considering it as an alternative. After all, many Big Data solutions are ideally suited to the preparation of data for input into a relational database, and Scala is a well thought-out and expressive language. Krzysztof Stanaszek describes some of the advantages and disadvantages of a scala-based approach to implementing and testing an ETL solution.

External Article

How to partition data in Tabular SSAS

Partitioning data is a standard SQL Server administration practice. Partitions enable independent administration of different slices of data. When a SQL Server Analysis Services (SSAS) tabular data model is developed and processed, data is read from the source system and loaded into the tabular data model configured in In-Memory processing mode. Every time the model is processed, the entire data set may not require re-processing. Only certain slices of data containing changes may require re-processing which can be achieved by partitioning data into logical slices. In this post, Siddharth Mehta looks at how to partition tables in Tabular SSAS.

Blogs

Fabric for Operational Reporting & SQL Endpoint Trap

By

With Fabric Mirroring, Microsoft is promoting a nice and appealing story for operational reporting...

Crawl, Walk, Run with Agentic Development of Power BI Assets

By

If you’ve been watching AI roll through the data community and thinking, “this seems...

How AgentDBA Diagnoses SQL Server Issues Fast

By

Not every production incident is a database in RECOVERY_PENDING or a corrupted event (like...

Read the latest Blogs

Forums

SQL Art, Part 4: Happy 4th of July — A British DBA's Guide to Celebrating a War We Don't Talk About

By Terry Jago

Comments posted to this topic are about the item SQL Art, Part 4: Happy...

Finding 'bad' characters

By Barcelona10

Hi All I am trying to find 'bad' characters that users might type in....

Extreme DAX: Take your Power BI and Fabric analytics skills to the next level

By Steve Jones - SSC Editor

Comments posted to this topic are about the item Extreme DAX: Take your Power...

Visit the forum

Question of the Day

Changing the Schema

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
GO
I 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
GO
This worked. Now, I move this schema to a new user. 
ALTER AUTHORIZATION ON SCHEMA::Myschema TO User3;
GO
What happens with this code? 
SETUSER 'USER2'
GO
SELECT * FROM MySchema.MyTable
GO

See possible answers