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
1,455 reads
The next installment of the Fabric Modern Data Platform looks at Spark pools for executing code.
2026-03-11
1,455 reads
In this next installments of the Modern Fabric Data Warehouse, we look at tools for developers.
2026-02-25
1,857 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
1,443 reads
This next article in the Fabric Modern Data Platform looks at DuckDB, an analytical database platform designed for analytics
2026-01-28
1,481 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
2,008 reads
In this next article, we look at how notebooks using Python can be cheaper than Spark notebooks.
2026-01-07
2,497 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)
887 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)
2,660 reads
By Brian Kelley
I will be leading an in-person Certified Information Systems Auditor (CISA) exam prep class...
EightKB is back again for 2026! The biggest online SQL Server internals conference is...
By HeyMo0sh
Working in DevOps long enough teaches you two universal truths: That’s exactly why I...
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