Learn basics of Data Wrangling in SQL Server to handle Invalid Values
In this article we cover the topic of data wrangling which is steps you can take to cleanup and validate data prior to data analysis.
2021-04-23
In this article we cover the topic of data wrangling which is steps you can take to cleanup and validate data prior to data analysis.
2021-04-23
Feodor Georgiev provides a thorough walkthrough on setting up SQL Server's Data Quality Services (DQS) and creating the rules it uses to function as a first step towards data cleansing.
2015-01-15
9,692 reads
By James Serra
I’m honored to be hosting T-SQL Tuesday — edition #192. For those who may...
By Vinay Thakur
Continuing from Day 2 , we learned introduction on Generative AI and Agentic AI,...
Quite the title, so let me set the stage first. You have an Azure...
hi everyone I am not sure how to write the query that will produce...
Comments posted to this topic are about the item Rollback vs. Roll Forward
Comments posted to this topic are about the item Foreign Keys - Foes or...
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