5 Tips for Becoming a Better Data Modeler
5 quick tips to help you become a better data modeler and increase your value to your team and organization.
2008-02-19
12,033 reads
5 quick tips to help you become a better data modeler and increase your value to your team and organization.
2008-02-19
12,033 reads
An exploration of the process of translating a conceptual model to a logical model, and ultimately, a faithful implementation using T-SQL.
2008-01-03
2,852 reads
An exploration of the process of translating a conceptual model to a logical model, and ultimately, a faithful implementation using T-SQL.
2007-12-27
3,035 reads
An exploration of the process of translating a conceptual model to a logical model, and ultimately, a faithful implementation using T-SQL.
2007-12-17
3,462 reads
An exploration of the process of translating a conceptual model to a logical model, and ultimately, a faithful implementation using T-SQL.
2007-12-10
3,066 reads
An exploration of the process of translating a conceptual model to a logical model, and ultimately, a faithful implementation using T-SQL.
2007-12-03
4,860 reads
SQL Server includes autonumber of identity columns despite the fact that they are not SQL-92 compliant. There is quite a bit of debate over the use of them in your database, but if you do decide to use them, you should be aware of potential problems. New author Troy Ketsdever brings us a story about his identity crisis and how it was solved.
2005-03-23
10,243 reads
By Vinay Thakur
Continuing from Day 4 where we learned Encoder, Decoder, and Attention Mechanism, today we...
By Vinay Thakur
Continuing from Day 3 where we covered LLM models open/closed and their parameters, Today...
By Steve Jones
One of the nice things about Flyway Desktop is that it helps you manage...
I'm fairly certain I know the answer to this from digging into it yesterday,...
Hi Team, I am trying to refresh the Azure Synapse Dedicated pool from production...
hi everyone I am not sure how to write the query that will produce...
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