2006-05-05
1,279 reads
2006-05-05
1,279 reads
The fourth part of a great data warehousing series from Vincent Rainardi. This article continues the look are still other methods of extracting data from the source system along with the advantages and disadvantages of each.
2006-05-02
14,466 reads
This article examines the problem of complex data in integration projects and presents solutions for handling this data to create seamless integration throughout the enterprise.
2006-04-25
2,460 reads
The third part of a great data warehousing series from Vincent Rainardi looks different methods of extracting data from the source system along with the advantages and disadvantages of each.
2006-04-25
17,018 reads
The second part of a great data warehousing series from Vincent Rainardi looks at the decision to stage data prior to moving it into the warehouse versus directly loading it. This is a must read for those contemplating a data warehouse.
2006-04-18
10,375 reads
2006-04-10
1,651 reads
In Part Two of his series, database administration expert Baya Pavliashvili explores the challenges involved in building and maintaining a warehousing solution using a simple database warehouse.
2006-03-02
3,657 reads
In the first of a two-part series, Baya Pavliashvili, database administration expert, offers solutions to your business problem using a data warehouse.
2006-03-01
4,624 reads
2006-02-28
1,785 reads
This article presents an excerpt from the book, Applied Microsoft Analysis Services, by Teo Lachev. Learn how to author “smart” reports using Reporting Services (SSRS), Analysis Services (SSAS), and SQL Server CLR stored procedures. Get the reports demonstrated in this article by downloading the sample code.
2006-02-01
3,483 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