If you are working with ADF (Azure Data Factory) data flows, then you may have noticed there was a new feature released in November 2020, which is useful to capture any error while inserting/updating the records in a SQL database. This article will describe how to setup the error row handling feature and why it's […]
2021-06-16 (first published: 2021-05-02)
5,666 reads
Whether you work as a Data Engineer or a Data Scientist, a Jupyter Notebook is a helpful tool. One of the projects I was working required a comparison of two parquet files. This is mainly a schema comparison, not a data comparison. Though the two .parquet were created from two different sources, the outcome should […]
2021-05-17
5,504 reads
This article will describe how to add your local timestamp at the end of the each file in Azure Data Factory (ADF). In general, ADF gets a UTC timestamp, so we need to convert the timestamp from UTC to EST, since our local time zone is EST. For example, if the input Source file name […]
2021-04-22
30,235 reads
This article will help you to work with Store Procedure with output parameters in Azure data factory.
2021-04-06
34,809 reads
2021-01-14
46,092 reads
This post will describe how you use a CASE statement in Azure Data Factory (ADF). If you are coming from SSIS background, you know a piece of SQL statement will do the task. However let's see how do it in SSIS and the very same thing can be achieved in ADF. Problem statement For my […]
2020-11-12
22,477 reads
By Vinay Thakur
Continuing from Day 4 where we learned Encoder, Decoder, and Attention Mechanism, today we...
By Vinay Thakur
Continuing from Day 3 where we covered LLM models open/closed and their parameters, Today...
By Steve Jones
One of the nice things about Flyway Desktop is that it helps you manage...
I'm fairly certain I know the answer to this from digging into it yesterday,...
Hi Team, I am trying to refresh the Azure Synapse Dedicated pool from production...
hi everyone I am not sure how to write the query that will produce...
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 *
FROM OPENJSON(
(
SELECT t.* FROM #test_data AS t FOR JSON PATH
)
) t; See possible answers