Power BI Sentinel
We all know and love Power BI, because of it’s power and ease of use, there’s a good reason why it’s number 1 in the Gartner Quadrant. But how to we avoid ‘Power BI Hell’, the new version of our old nemesis ‘Excel Hell’?
2019-03-30
PowerPivot/PowerView/PowerQuery/PowerBI
Performance Design Tip for Power BI: Be Careful of Dates
I have written about Date Dimension in Power BI in many posts, and it makes sense now to explain one of the most common performance challenges that I see in some of the models. Sometimes, your model size grows significantly big, and you have no idea...
2019-03-30
Power BI, Caching, Parallelism And Power Query Refresh Performance
Some time ago a customer of mine (thank you, Robert Lochner) showed me a very interesting scenario where a set of Power Query queries in Power BI Desktop refreshed a lot faster with the “Enable Parallel Loading Of Tables” option turned off.
2019-03-30
Using DAX with DateTime values
I was recently reading an interesting question by a user. Given a date/time value and a number of hours, add the number of hours to the date, but considering some constraints related to working hours:
The working hours are 09:00-17:00
Non-working days ...
2019-03-30
Blogs
In-Person CISA Training – April 13-16, 2026
By Brian Kelley
I will be leading an in-person Certified Information Systems Auditor (CISA) exam prep class...
EightKB 2026
EightKB is back again for 2026! The biggest online SQL Server internals conference is...
The FinOps Lifecycle: From Budgeting to Reporting
By HeyMo0sh
Working in DevOps long enough teaches you two universal truths: That’s exactly why I...
Forums
Fun with JSON II
Comments posted to this topic are about the item Fun with JSON II
Changing Data Types
Comments posted to this topic are about the item Changing Data Types
Answering Questions On Dropped Columns
Comments posted to this topic are about the item Answering Questions On Dropped Columns
Question of the Day
Fun with JSON II
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