How to use Jupyter Notebook in VSCode
Learn how you can create and use a Jupyter Notebook in VS Code.
2024-07-22
4,446 reads
Learn how you can create and use a Jupyter Notebook in VS Code.
2024-07-22
4,446 reads
Learn how to use Python code with Azure Data Studio to work with SQL Server data.
2022-10-03
14,372 reads
Markdown documents are becoming increasingly more popular and relevant with the emergence of notebooks. Markdown is a markup language for creating formatted text. It is widely used in tools for collaboration, tools for creating documentation and notebooks. Formatting is easy to understand, readable, simple to adopt, and agnostic. I can use a markdown document on […]
2021-11-29
11,412 reads
Whether you work as a Data Engineer or a Data Scientist, a Jupyter Notebook is a helpful tool. One of the projects I was working required a comparison of two parquet files. This is mainly a schema comparison, not a data comparison. Though the two .parquet were created from two different sources, the outcome should […]
2021-05-17
5,505 reads
A morning checklist is a good thing, but an automated one is better.
2020-04-06
29,507 reads
Eduardo Pivaral shows how to embed the results of a Jupyter notebook created in Azure Data Studio on a website: Notebooks are a functionality available in Azure Data Studio, that...
2019-05-15
Learn how to use the notebook feature of Azure Data Studio to keep a set of queries together with some documentation.
2023-11-09 (first published: 2019-04-11)
20,375 reads
By Brian Kelley
I will be leading an in-person Certified Information Systems Auditor (CISA) exam prep class...
EightKB is back again for 2026! The biggest online SQL Server internals conference is...
By HeyMo0sh
Working in DevOps long enough teaches you two universal truths: That’s exactly why I...
Hi all, I just started using VS Code to work with DB projects. I...
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