Using Pipeline Return Value in Azure Data Factory and Azure Synapse Analytics
Learn how you can return data from one ADF pipeline for use in another.
2023-11-01
5,118 reads
Learn how you can return data from one ADF pipeline for use in another.
2023-11-01
5,118 reads
Learn how you can configure an Azure Data Factory pipeline that is triggered by an email being sent to an address.
2023-11-03 (first published: 2023-10-27)
4,677 reads
Learn a step-by-step method to save your ADF pipelines in Git and automatically release new changes to test and production.
2024-09-23 (first published: 2023-10-16)
2,703 reads
This article shows how you can have your Azure Data Factory (ADF) pipeline send an email using a Logic App.
2023-09-29
3,624 reads
Learn how you can use CI/CD with your ADF Pipelines and Azure DevOps using ARM templates.
2023-03-10
13,668 reads
Data movement is a fundamental piece of a data engineer’s duties, and recently I’ve been thinking about the art of data movement. What are some of the most important pieces that a data engineer needs to think about when confronted with data ingestion? There is of course data exporting as well, and in that case, […]
2022-11-11
6,072 reads
Learn how to use the Script activity in an Azure Data Factory pipeline to deploy and populate databases using DDL, DCL, and DML statements.
2022-11-04
This article will show how you can use Azure Data Factory to check your data quality with an assertion.
2022-11-02 (first published: 2022-10-24)
4,153 reads
Get a few common questions and possible answers about Azure Data Factory that you may encounter in an interview.
2022-06-03
4,471 reads
Learn about using the Script activity in Azure Data Factory to run DDL or DML statements.
2022-05-13
19,533 reads
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Comments posted to this topic are about the item Fun with JSON II
Comments posted to this topic are about the item Changing Data Types
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