Going Native with Fabric Spark Pools: The Fabric Modern Data Platform
The next installment of the Fabric Modern Data Platform looks at Spark pools for executing code.
2026-03-11
1,441 reads
The next installment of the Fabric Modern Data Platform looks at Spark pools for executing code.
2026-03-11
1,441 reads
In this next installments of the Modern Fabric Data Warehouse, we look at tools for developers.
2026-02-25
1,842 reads
Microsoft Fabric is a unified platform for data integration, data engineering, real-time intelligence, and advanced analytics. Fabric is known for providing an integrated way of working with your data, connecting to many diverse types of sources and across the data landscape. How do we get started ingesting and analyzing real-time data streamed over the MQTT protocol?
2026-02-23
This next articles gives you a few quick ways to access data in remote storage.
2026-02-11
1,435 reads
This next article in the Fabric Modern Data Platform looks at DuckDB, an analytical database platform designed for analytics
2026-01-28
1,480 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
2,003 reads
In this next article, we look at how notebooks using Python can be cheaper than Spark notebooks.
2026-01-07
2,495 reads
This article will use the incremental data load pattern to load data in our raw zone tables.
2026-03-07 (first published: 2025-12-10)
884 reads
2025-12-05
108 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)
2,641 reads
By HeyMo0sh
One of the biggest challenges I’ve faced in cloud operations is maintaining clear visibility...
By Steve Jones
I come to Heathrow often. Today is likely somewhere close to 60 trips to...
By Brian Kelley
If your organization is spending money, then meaningful results are a must. Pen testing...
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