Daniel Calbimonte

Daniel Calbimonte is an Expert in SQL Server including SSIS, SSRS, SSAS, and Azure.
He is a tech writer, blogger, DBA Developer, and consultant.
  • Skills: ssas, ssis, ssrs, Power BI, Azure

SQLServerCentral Article

Writing SQL Server code with AI using GitHub Copilot

Introduction In this article, we will see how to work with GitHub Copilot. GitHub copilot is an interesting plug-in that generates code using AI. The technology is from Microsoft and OpenAI. We will show how to install Copilot, and how to generate SQL Server code (T-SQL) using Copilot. First, we will answer some FAQs about Copilot […]

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2024-02-12

13,425 reads

SQLServerCentral Article

How to create a SQL Server presentation in 5 minutes using AI

Introduction This SQLServerCentral article shows how to create a SQL Server presentation in 5 minutes using AI. AI is revolutionizing the world as it continues to evolve. In this article, we aim to answer the question: Is it truly possible to create a high-quality presentation using AI in such a short amount of time? Is […]

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2023-12-27 (first published: )

4,591 reads

SQLServerCentral Article

Bing vs Bard (Chatbot wars)

Introduction about Bing vs Bard You heard it well Chatbot wars, the war between Bing vs Bard. Ladies and gentlemen, in the Google corner we have the challenger, Bard! And in the Microsoft corner, we have a powerful AI-based in ChatGPT 4, the stupendous, the magnificent…Bing! (applause). These great chatbots will demonstrate their power in […]

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2023-08-14

2,113 reads

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Fun with JSON II

By Steve Jones - SSC Editor

Comments posted to this topic are about the item Fun with JSON II

Changing Data Types

By Steve Jones - SSC Editor

Comments posted to this topic are about the item Changing Data Types

Answering Questions On Dropped Columns

By Cláudio Silva

Comments posted to this topic are about the item Answering Questions On Dropped Columns

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Question of the Day

Fun with JSON II

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