2025-11-17
3,702 reads
Data Mining
Using the FP-Growth Algorithm to Mine Useful Patterns in Data
This article looks at using the FP-Growth algorithm from Python to mine data in SQL Server.
2025-09-08
2,773 reads
Time Series Data Mining Example with T-SQL when Adding New Data
Learn about working with time series data using T-SQL code and how to add additional data to the data set for more in-depth data mining.
2023-11-27
Multiple Regression Model Enhanced with Bagging
This article explains what bagging is relative to a basic decision tree model and demonstrates how to apply bagging for better multiple regression model fits to data from SQL Server.
2021-01-20
Explaining The SQL Server 2014 Analysis Services Data Mining Model Lift Chart
In this tip, Dallas Snider explains how to interpret the Lift Chart found on the Mining Accuracy tab of a SQL Server 2014 Analysis Services Data Mining structure.
2014-11-27
7,629 reads
2014-01-08
1,536 reads
Explore filtered models in SQL Server 2008
This articles explores how you can work with filtered models, a powerful new feature introduced in SQL Server 2008 that allows you build models on slices of a mining structure.
2009-12-03
2,607 reads
Using SQL Server Data Mining Add-Ins for Office 2007 to Predict Database Growth Trends - Part 2
I want to show you another easier way to pull information to help predict database growth again using the Data Mining Tools.
2009-07-22
2,359 reads
2009-07-15
2,766 reads
SQL Server Data Mining Programmability
Learn more about the new APIs for data mining in SQL Server 2005, and get an introduction to several common development scenarios.
2009-04-24
2,532 reads
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Forums
Fun with JSON II
Comments posted to this topic are about the item Fun with JSON II
Changing Data Types
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Answering Questions On Dropped Columns
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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