Remotely Engineer Fabric Lakehouse objects: The Fabric Modern Data Platform
In this next installments of the Modern Fabric Data Warehouse, we look at tools for developers.
2026-02-25
1,636 reads
In this next installments of the Modern Fabric Data Warehouse, we look at tools for developers.
2026-02-25
1,636 reads
This next articles gives you a few quick ways to access data in remote storage.
2026-02-11
1,343 reads
This next article in the Fabric Modern Data Platform looks at DuckDB, an analytical database platform designed for analytics
2026-01-28
1,431 reads
In this next article on the Fabric Modern Data Platform, we use the Polars library in Python to improve our data engineering.
2026-01-14
1,924 reads
In this next article, we look at how notebooks using Python can be cheaper than Spark notebooks.
2026-01-07
2,453 reads
This article will use the incremental data load pattern to load data in our raw zone tables.
2025-12-10
784 reads
In this next article on the Fabric Modern Data Platform, we examine setting up an on-premises gateway.
2025-12-09 (first published: 2025-11-26)
2,464 reads
2025-11-25 (first published: 2025-04-16)
1,615 reads
In this next article, we are going to explore how to install, configure and use the command line to manage a couple different Fabric Lakehouse’s.
2025-06-04
1,567 reads
Learn how you can create a full data load process in Fabric.
2025-04-16
3,743 reads
By James Serra
I’m honored to be hosting T-SQL Tuesday — edition #192. For those who may...
By Vinay Thakur
Continuing from Day 2 , we learned introduction on Generative AI and Agentic AI,...
Quite the title, so let me set the stage first. You have an Azure...
hi everyone I am not sure how to write the query that will produce...
Comments posted to this topic are about the item Rollback vs. Roll Forward
Comments posted to this topic are about the item Foreign Keys - Foes or...
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