Dimensional Modeling Case Study, Part 4 – Dynamic Time Duration Dimension
In this next article, we look at creating balanced dimensions on demand.
2025-07-16
704 reads
Data Warehousing
The Data Warehousing Choice
What is your choice for data warehousing? Is it a cloud platform? Which one is attractive to you?
2025-06-23
221 reads
Data Warehouse Considerations - SCD Type 2 vs Overwrite Dimension Tables
How we handle data warehousing updates to dimension tables is crucial and this article covers Slowly Changing Dimensions versus overwriting tables.
2024-12-20
The Load of Real Time Data Warehouses
How much load do real time updates place on a data warehouse? Steve has a few thoughts on the analysis of the Amazon Redshift dataset, Redset.
2024-10-07
228 reads
Dimensional Modeling Case Study Part 2 - Days Dimension
Learn how you can model days in a dimension that might need to be aggregated in different ways for your data warehouse operations.
2024-02-07
2,219 reads
A Overview of Amazon Redshift
This article gives an overview of Amazon Redshift, the cloud data warehouse in AWS.
2023-07-24
25,602 reads
How do you secure sensitive data in a modern Data Warehouse?
In 2019 Canadian Broadcasting Corporation (CBC) news reported a massive data breach at the Desjardins Group, which is a Canadian financial service cooperative and the largest federation of credit unions in North America. The report indicated, a "malicious" employee copied sensitive personal information collected by Desjardins from their data warehouse. The data breach compromised the […]
2022-03-30
3,147 reads
Pairing Data Vault and Biml for DW Agility
Agile data warehousing can be challenging. Pairing the right methodologies and tools can help. Here is how my team met the challenge by using Data Vault methodology and BIML scripting.
2014-09-04
2,598 reads
2014-07-24
1,643 reads
Comparing Data Warehouse Design Methodologies for Microsoft SQL Server
In this article, Arshad Ali goes intp detail about how a data warehouse is different from operational data store and the different design methodologies for a data warehouse.
2013-07-03
6,374 reads
Blogs
AI: Blog a Day – Day 5: Notebooks, Hugging face models and Fine Tuning
By Vinay Thakur
Continuing from Day 4 where we learned Encoder, Decoder, and Attention Mechanism, today we...
AI: Blog a Day – Day 4: Transformers – Encoder, Decoder, and Attention
By Vinay Thakur
Continuing from Day 3 where we covered LLM models open/closed and their parameters, Today...
Flyway Tips: Multiple Projects
By Steve Jones
One of the nice things about Flyway Desktop is that it helps you manage...
Forums
Can an Azure App Service Managed Identity be used for SQL Login?
I'm fairly certain I know the answer to this from digging into it yesterday,...
Azure Synapse database refresh
Hi Team, I am trying to refresh the Azure Synapse Dedicated pool from production...
how to write this query?
hi everyone I am not sure how to write the query that will produce...
Question of the Day
Fun with JSON I
I have some data in a table:
CREATE TABLE #test_data
(
id INT PRIMARY KEY,
name VARCHAR(100),
birth_date DATE
);
-- Step 2: Insert rows
INSERT INTO #test_data
VALUES
(1, 'Olivia', '2025-01-05'),
(2, 'Emma', '2025-03-02'),
(3, 'Liam', '2025-11-15'),
(4, 'Noah', '2025-12-22');
If I run this query, how many rows are returned?
SELECT *
FROM OPENJSON(
(
SELECT t.* FROM #test_data AS t FOR JSON PATH
)
) t; See possible answers