Slowly Changing Dimension (SCD) Transformation is a quick and easy way to manage smaller slowly changing dimensions but it has several limitations and does not perform well when the number of rows or columns gets larger. Arshad Ali explores some of the alternatives you can use for managing larger slowly changing dimensions.
On Thursday June 20 at 12 noon Central time, Steve Simon will discuss the challenges of designing financial warehouses.
As data professionals, we want to avoid losing data. We won't always be successful, but we can avoid making the easy mistakes.
Windows Cluster\SQL Availability Group rebuild times comparison - Management Studio & Cluster Manager Vs PowerShell Commands
Why does the IT industry seem to act and run so differently than many other industries? Steve Jones takes a stab at explaining this.
SSAS Tabular models are in-memory databases that model data with relational constructs such as tables and relationships, in order to provide a rapid and powerful way of providing self-service BI to client applications such as Microsoft Excel and Microsoft Power View. You’ve deployed SSAS in tabular mode, and deployed Adventureworks into it. What next? Rob Sheldon explains all.
SQL Saturday Dublin is hosting a two-day training event covering SQL Server 2012, Business Intelligence, Database Administration and Personal Development. The free training event will be Saturday June 22 2013, and three preconference sessions (not free) will take place the 21st.
This article shows how to implement low cost custom sequence numbering logic via a cunning use of the the ROW_NUMBER() function
The best at their crafts are usually the most rewarded in sports, but not necessarily in other fields. This week Steve Jones asks if you would like it to be different?
Check if databases are really in FULL recovery model with a recovery model called pseudo-simple, where the database still behaves like it is still in SIMPLE recovery model until a full database backup is taken.
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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