The Microsoft SQL Year in Review
Microsoft gives a year in review from the SQL Server and Azure SQL teams. Steve sees a lot of accomplishments from this past year.
2025-12-20
85 reads
Microsoft gives a year in review from the SQL Server and Azure SQL teams. Steve sees a lot of accomplishments from this past year.
2025-12-20
85 reads
Steve looks back at his history with Microsoft and asks what your memories are of using their products.
2025-04-25
112 reads
Read a summary of the data platform announcements from Microsoft at the PASS Data Community Summit 2024 last week.
2024-11-18
1,003 reads
Today Steve wonders if official solutions from a vendor are that important.
2024-11-15
116 reads
2024-11-06
199 reads
Learn about the Microsoft sessions at the 2024 PASS Data Community Summit from Bob Ward.
2024-10-28
171 reads
Get ready to meet Microsoft's experts on-site in the exhibit hall and in multiple educational sessions (including a pre-con, keynote and learning pathway). Watch a sneak peek of Microsoft's learning pathway 'Becoming an Azure SQL DBA – Advancing the Role of the On-Premises SQL Server DBA'
2024-09-18
Microsoft will be presenting a number of sessions at the PASS Data Community Summit 2023. Read about their plans for the event and register to come if you can.
2024-05-14 (first published: 2023-11-03)
307 reads
Today Steve has a few thoughts, and links, from the Build Keynote last week, which featured AI technology.
2023-05-26
158 reads
2023-04-29
137 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