Changing Data Types
Steve had to deal with a customer that changed data types in columns often. Is that something you experience?
2026-03-18
34 reads
Data Modeling
Your Biggest Data Model Complaints
Today Steve asks which data model issues are most annoying to you.
2025-02-28
138 reads
Data Modeling Information
Data modeling can be challenging for many reasons. Steve talks about the choices you make in how you store data should be a part of that.
2023-04-19
286 reads
Moving away from an RDBMS
Today Steve looks at an article the migrates a relational model to CosmosDB.
2020-07-10
706 reads
2020-03-10
337 reads
The Power of the Data Model
A data model is far more powerful than simply a set of build instructions for DBAs. It can be used to shape business thought and actions for the benefit of all.
2017-02-14
2,023 reads
2015-05-05
1,874 reads
Antipathy for Entity Attribute Value data models
EAV models have their uses but the costs are often hidden and if not hidden, more than anticipated.
2013-01-21
8,570 reads
Restructure 100 Million Row (or more) Tables in Seconds. SRSLY!
Changing the structure of a very large table doesn't need to require a maintenance window.
2012-10-05 (first published: 2011-04-26)
22,224 reads
Naturally Increasing Data Value with Hierarchical Structures
Hierarchical structures have an inherent ability for significant data value increases beyond the data collected. This will be shown to exist in hierarchical structures and even more powerfully in their natural hierarchical processing capabilities. These will demonstrate flexible and efficient ways to increase data value automatically and will be discussed in this article. SQL will be used to perform a wide range of hierarchical processing operations that easily demonstrate these increasing data value capabilities.
2011-03-23
3,291 reads
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Fun with JSON II
Comments posted to this topic are about the item Fun with JSON II
Changing Data Types
Comments posted to this topic are about the item Changing Data Types
Answering Questions On Dropped Columns
Comments posted to this topic are about the item Answering Questions On Dropped Columns
Question of the Day
Fun with JSON II
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 t1.[key] AS row,
t2.*
FROM OPENJSON(
(
SELECT t.* FROM #test_data AS t FOR JSON PATH
)
) t1
CROSS APPLY OPENJSON(t1.value) t2; See possible answers