Azure Cosmos DB – HTAP using Azure Synapse Link
I haven’t done much blogging in the last 6 months. My last article was posted in January, on Data Governance in the Covid era. After changing jobs in March,...
2021-10-17
141 reads
Arjun Sivadasan
- Interests: Cycling, Cooking, Motorbikes
- Website: http://www.sqlroadie.com
- LinkedIn: https://www.linkedin.com/in/arjunsivadasan/
Azure Cosmos DB – HTAP using Synapse Analytics
I haven’t done much blogging in the last 6 months. My last article was posted in January, on Data Governance in the Covid era. I changed jobs in March,...
2021-10-17
865 reads
Importance of data governance in the Covid era
One common theme that stood out last year is the oversupply of data to our fingertips. In my line of work as a data professional, I produce, consume and...
2021-01-12 (first published: 2021-01-05)
456 reads
Importance of data governance in the Covid era
Covid-driven disruption calls for a higher degree of consistency and clarity on the data assets handled by any organization, because in the months to come there will be a...
2021-01-05
14 reads
Where is your Awesome?
Everyone of us is in a perpetual pursuit of awesomeness - some actively looking for it, while others passively. Either way, it is inherent in our making to reach...
2020-09-11 (first published: 2020-09-06)
435 reads
Where is your Awesome?
One unequivocal point to note is that loving oneself is a precursor to awesomeness. You can't be awesome if you don't love yourself. Period!
2020-09-06
12 reads
Azure Cosmos DB: real-time data movement using Change Feed and Azure Functions
In this article, we will focus on creating a data pipeline to ETL (Extract, Transform and Load) Cosmos DB container changes to a SQL Server database. Note that this...
2019-07-21
2,836 reads
Azure Cosmos DB: real-time data movement using Change Feed and Azure Functions
In this article, we will focus on creating a data pipeline to ETL (Extract, Transform and Load) Cosmos DB container changes to a SQL Server database. Note that this...
2019-07-21
121 reads
Demo: Predictive Modeling using R and SQL Server Machine Learning Services
Late last year, I wrote a series of articles about Predictive Modeling using R and SQL Server Machine Learning Services. At the time, I thought MLS was an underutilized...
2019-06-17 (first published: 2019-05-28)
708 reads
Demo: Predictive Modeling using R and SQL Server Machine Learning Services
Late last year, I wrote a series of articles about Predictive Modeling using R and SQL Server Machine Learning Services. At the time, I thought MLS was an underutilized...
2019-05-28
18 reads
Blogs
Cost Visibility: Tracking and Analysing Your Cloud Spend
By HeyMo0sh
One of the biggest challenges I’ve faced in cloud operations is maintaining clear visibility...
Whiling away an afternoon, thinking
By Steve Jones
I come to Heathrow often. Today is likely somewhere close to 60 trips to...
Black Box vs. Gray Box vs. White Box Testing
By Brian Kelley
If your organization is spending money, then meaningful results are a must. Pen testing...
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