2026-03-04
2,262 reads
SQL
Fabric Analytics for SQL folks: Part 1 - Fabric demystified
Unlock new opportunities for data-driven decision-making by grasping the significance of SQL and structured data in current data and analytics ecosystems like Microsoft Fabric.
2025-03-21
6,513 reads
Takeaways from Data Grillen 2024
Two days of Data, Beer and Bratwurst. What did it bring me, find out by reading this photo-rich article.
2024-05-24
452 reads
Will AI end with SQL, Is this the end of SQL?
An experienced DBA asks an AI to perform some common tasks. Read to see how it fairs and if an AI will impact DBA jobs.
2024-03-11
7,820 reads
SQL Window Functions Series: NTILE()
Unlock the power of SQL's NTILE function with our latest deep-dive article. Learn to segment your data effectively into quantiles for more nuanced analysis, discover common pitfalls and their solutions, and optimize your queries for peak performance.
2024-02-03 (first published: 2024-01-03)
5,049 reads
SQL Window Functions Series: LAG() and LEAD()
Dive deep into the powerful SQL window functions, LAG() and LEAD(). Explore their intricacies, discover real-world examples, and avoid common pitfalls.
2023-12-11
9,573 reads
SQL Window Functions Series: RANK() and DENSE_RANK()
Welcome to the fascinating world of SQL window functions! Today, we'll explore in detail: RANK() and DENSE_RANK().
2023-11-20 (first published: 2023-11-15)
13,968 reads
How to Use SQL to Analyze the Bitcoin Blockchain
You will learn how a blockchain works and then use a SQL database to analyze data from a series of transactions.
2023-09-08
5,023 reads
SQL WHERE LIKE to Construct More Efficient Queries
In this article, we will discuss the purpose and use of the WHERE LIKE clause in SQL Server and how it can help you construct more efficient queries.
2023-06-02
Unlock the Power of Google Cloud SQL: Setting Up SQL Server and PostgreSQL Instances
Learn how to get started with Google Cloud MySQL and PostgreSQL databases by creating and configuring a database.
2023-05-26
1,009 reads
Blogs
AI: Blog a Day – Day 4: Transformers – Encoder, Decoder, and Attention
By Vinay Thakur
Continuing from Day 3 where we covered LLM models open/closed and their parameters, Today...
Flyway Tips: Multiple Projects
By Steve Jones
One of the nice things about Flyway Desktop is that it helps you manage...
What DevOps Look Like in Microsoft Fabric
By HeyMo0sh
Microsoft Fabric (not to be confused with the more general term “fabric” in DevOps)...
Forums
Can an Azure App Service Managed Identity be used for SQL Login?
I'm fairly certain I know the answer to this from digging into it yesterday,...
Azure Synapse database refresh
Hi Team, I am trying to refresh the Azure Synapse Dedicated pool from production...
how to write this query?
hi everyone I am not sure how to write the query that will produce...
Question of the Day
Fun with JSON I
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 *
FROM OPENJSON(
(
SELECT t.* FROM #test_data AS t FOR JSON PATH
)
) t; See possible answers