Session Materials for Cloudbrew & Data Meetup Groningen
I presented “Microsoft Fabric for Dummies” at Cloudbrew and “How I saved 80% on my ADF costs” as a lightning talk at Data Meetup Groningen. Both slidedecks can be...
2023-12-13
13 reads
I presented “Microsoft Fabric for Dummies” at Cloudbrew and “How I saved 80% on my ADF costs” as a lightning talk at Data Meetup Groningen. Both slidedecks can be...
2023-12-13
13 reads
A while ago I had a little blog post series about cool stuff in Snowflake. I’m doing a similar series now, but this time for Microsoft Fabric. I’m not going...
2023-11-10
28 reads
A while ago I had a little blog post series about cool stuff in Snowflake. I’m starting up a similar series, but this time for Microsoft Fabric. I’m not...
2023-10-30 (first published: 2023-10-17)
340 reads
You can find the slides for the session that I gave with Johan at dataMinds Connect 2023 at GitHub. As usual, the event was amazing. A lot of great...
2023-10-12
23 reads
You can find the slides for my session at Future Data Driven summit at GitHub. It was really nice presenting (virtually). If you have any questions, let me know!
The...
2023-09-27
20 reads
I’m very excited for this year’s edition of dataminds connect. It’s the first time I’m going to co-present a live session. My fellow explorer is the amazing bearded Johan...
2023-09-08
11 reads
I’m going to give a lightning talk at the online (free) Future Data Driven Summit. The subject is How I saved 80% on my Azure Data Factory Costs. The...
2023-09-08 (first published: 2023-09-07)
8 reads
I recently finished the book Scalable Data Analytics with Azure Data Explorer (Modern ways to query, analyze, and perform real-time data analysis on large volumes of data), written by...
2023-09-01 (first published: 2023-08-16)
90 reads
At Tuesday 6th of June 2023, I’m giving an online version of my session “Analyzing Azure Cosmos DB Data with Azure Synapse Link” (which I presented at Techorama). It’s...
2023-06-05
21 reads
I’ve uploaded the slides for my session at Techorama to Github.
The post Techorama Slides – Analyze Cosmos DB Data with Synapse Link first appeared on Under the kover of...
2023-05-15
14 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...
Hi all, I just started using VS Code to work with DB projects. 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
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