Don’t know about you, but one of my least favourite data pipeline errors is
the age-old failure caused by schema changes in the data source, especially
when these don’t...
2019-12-31 (first published: 2019-12-15)
1,359 reads
This is the fourth and final post in a series about modern Data Lake
Architecture where I cover how we can build high quality data lakes using
Delta Lake,...
2019-12-16 (first published: 2019-12-06)
1,172 reads
Don’t know about you, but one of my least favourite data pipeline errors is
the age-old failure caused by schema changes in the data source, especially
when these don’t...
2019-12-15
96 reads
Don’t know about you, but one of my least favourite data pipeline errors is
the age-old failure caused by schema changes in the data source, especially
when these don’t...
2019-12-15
12 reads
This is the fourth and final post in a series about modern Data Lake
Architecture where I cover how we can build high quality data lakes using
Delta Lake,...
2019-12-06
79 reads
This is the fourth and final post in a series about modern Data Lake
Architecture where I cover how we can build high quality data lakes using
Delta Lake,...
2019-12-06
79 reads
This is the third post in a series about modern Data Lake Architecture
where I cover how we can build high quality data lakes using Delta Lake,
Databricks and...
2019-11-20 (first published: 2019-11-13)
2,595 reads
This is the third post in a series about modern Data Lake Architecture
where I cover how we can build high quality data lakes using Delta Lake,
Databricks and...
2019-11-13
93 reads
This is the third post in a series about modern Data Lake Architecture
where I cover how we can build high quality data lakes using Delta Lake,
Databricks and...
2019-11-13
12 reads
This is the second post in a series about modern Data Lake Architecture
where I cover how we can build high quality data lakes using Delta Lake,
Databricks and...
2019-08-29
900 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