A Simple Method to Load Excel Data
Learn how a C# script can easily load data from Excel into SQL Server.
2024-01-15
6,850 reads
Learn how a C# script can easily load data from Excel into SQL Server.
2024-01-15
6,850 reads
The ForEach loop works with only one file type at a time by default. Learn how you can add code to your packages to work with multiple types of files.
2023-12-18
3,563 reads
Learn how you can return data from one ADF pipeline for use in another.
2023-11-01
5,115 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
Extraction Transformation Load (ETL) is the backbone for any data warehouse. In the data warehouse world data is managed by the ETL process, which consists of three processes, Extraction-Pull/Acquire data from sources, Transformation-change data in the required format and Load-push data to the destination generally into a data warehouse or a data mart.
2023-10-25
Learn about the evolutionary journey of ETL (Extract, Transform, Load) from traditional processes to modern cloud solutions.
2023-10-18
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
3,622 reads
Learn how you can use monitor your data warehouse load process with Python code and a structured process.
2023-10-06 (first published: 2023-09-20)
2,014 reads
This article looks at manipulating data using Python to unpivot data received in a cross tab format.
2023-06-30
3,374 reads
By Steve Jones
Finding duplicates was an interview question for me years ago, and I’ve never forgotten...
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Over time, I’ve realised that one of the hardest parts of cloud management isn’t...
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One of the biggest challenges I’ve faced in cloud operations is maintaining clear visibility...
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
Comments posted to this topic are about the item Answering Questions On Dropped Columns
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