Using Non-SQL Languages in Azure Data Studio
In this article, we examine the support for non-SQL languages in Azure Data Studio, primarily PoSh and Python.
In this article, we examine the support for non-SQL languages in Azure Data Studio, primarily PoSh and Python.
Learn about the differences and similarities when deleting data from SQL Server, Oracle and PostgreSQL with the several examples in this article.
Every time you need to reuse the query results from SSMS, for example to populate another table, or to search for matching rows in another table, it will inevitably mean a lot of manual tweaking to the get the results into the right format. Louis Davidson uncovers three SQL Prompt gems that can remove all this pain.
Introduction I recently passed the Google Cloud Professional Data Engineer certification exam, Professional Data Engineer Certification. It took me about five month to prepare for this, and I would like to share my thoughts of why I decided to take it on and how I prepared for it. At the moment, Google cloud (GCP) is […]
Understanding SQL Server security is a critical skill. Greg Larsen explains SQL Server authentication methods, logins, and database users in this article.
The goal of this article is to illuminate exactly what Azure Databricks is so that you can determine what parts of the platform might make sense to add to your organization's data stack.
In 2008, I managed to achieve the goal of becoming a Microsoft Certified Trainer. Once I achieved the status, Microsoft shipped me a binder with dozens of DVDs containing lab VMs and class materials for all the current classes. At some point, instead of receiving DVDs, you were expected to download images which was quite […]
We all need to learn and tackle new technology in our career. When we do so, are we impostors or students?
Keep column headers visible while scrolling down the page of SSRS reports.
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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
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