2021-07-23
365 reads
ETL/SSIS/Azure Data Factory
2021-07-16
454 reads
Importing a CSV into SQL Server Shouldn't Be This Hard
A frustrating time importing CSV files leads Steve to test the different options.
2021-07-14
17,408 reads
2021-07-09
421 reads
Migrating SSIS packages to Azure - Lift and Shift using Azure Data Factory
Unlike an on premises SQL Server, Integration Services (SSIS) works very differently on Azure. If there are requirements to run our existing SSIS packages on Azure, then we need to understand our options. In this article we will talk about our options for migrating SSIS to Azure and what components are required to migrate SSIS packages. […]
2021-04-05 (first published: 2021-03-22)
9,743 reads
Microsoft Azure ADF - Dynamic Pipelines
Azure Data Factory (ADF) is a cloud based data integration service that allows you to create data-driven workflows in the cloud for orchestrating and automating data movement and data transformation. Azure Data Factory does not store any data itself. but it allows you to create data-driven workflows to orchestrate the movement of data between supported […]
2021-03-01
11,604 reads
How to Resolve Merge Conflicts in Git for SSIS Projects
In this part of the tip, we'll show you how to simulate a merge conflict when using Git for an Integration Services project.
2021-01-13
Getting Informative SQL Agent Notifications from Failed SSIS Packages
Getting informative error messages when something goes wrong with an SSIS package is critical, especially if you are not in front of your computer.
2020-11-25
7,133 reads
How to simulate Case statement in Azure Data Factory (ADF) compared with SSIS?
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
22,486 reads
Incremental Data Loading using Azure Data Factory
Introduction In my last article, Loading data in Azure Synapse Analytics using Azure Data Factory, I discussed the step-by-step process for loading data from an Azure storage account to Azure Synapse SQL through Azure Data Factory (ADF). ADF basics are covered in that article. In this article I will go through the process for the incremental […]
2020-09-24
46,262 reads
Blogs
Optimising Costs: Strategies for Efficient Cloud Resource Management
By HeyMo0sh
Over time, I’ve realised that one of the hardest parts of cloud management isn’t...
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...
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