Configuring an SSIS ForEach Loop for Multiple File Types
The ForEach loop works with only one file type at a time by default. Learn how you can add code to your packages to work with multiple types of files.
2023-12-18
3,373 reads
ETL/SSIS/Azure Data Factory
Using Pipeline Return Value in Azure Data Factory and Azure Synapse Analytics
Learn how you can return data from one ADF pipeline for use in another.
2023-11-01
4,909 reads
Trigger the Execution of an ADF Pipeline from an Email
Learn how you can configure an Azure Data Factory pipeline that is triggered by an email being sent to an address.
2023-11-03 (first published: 2023-10-27)
4,533 reads
Top 10 Methods to Improve ETL Performance Using SSIS
Extraction Transformation Load (ETL) is the backbone for any data warehouse. In the data warehouse world data is managed by the ETL process, which consists of three processes, Extraction-Pull/Acquire data from sources, Transformation-change data in the required format and Load-push data to the destination generally into a data warehouse or a data mart.
2023-10-25
What I Wish Everyone Knew About ETL Processes - Traditional to Modern Cloud Solutions
Learn about the evolutionary journey of ETL (Extract, Transform, Load) from traditional processes to modern cloud solutions.
2023-10-18
GIT Configuration and Automated Release for Azure Data Factory
Learn a step-by-step method to save your ADF pipelines in Git and automatically release new changes to test and production.
2024-09-23 (first published: 2023-10-16)
2,547 reads
Sending Multiple Attachments in Email from Azure Data Factory Pipeline
This article shows how you can have your Azure Data Factory (ADF) pipeline send an email using a Logic App.
2023-09-29
3,368 reads
How Effective Is Your Data Load Monitoring in SQL and Python?
Learn how you can use monitor your data warehouse load process with Python code and a structured process.
2023-10-06 (first published: 2023-09-20)
1,991 reads
Unpivot Data Using Python
This article looks at manipulating data using Python to unpivot data received in a cross tab format.
2023-06-30
3,337 reads
Advantages of Kappa architecture in the Modern Data Stack
A comparison of the lambda and kappa architectures for real time ingestion and analysis of big data.
2023-06-19
5,235 reads
Blogs
Fabric as a Data Mesh Enabler: Rethinking Enterprise Data Distribution
By Chris Yates
For decades, enterprises have approached data management with the same mindset as someone stuffing...
Truncate Table Pitfalls
Truncate Table Pitfalls Truncating a table can be gloriously fast—and spectacularly dangerous when used carelessly....
dataMinds Connect 2025 – Slides & Scripts
You can find all the session materials for the presentation “Indexing for Dummies” that...
Forums
Technological Dinosaurs or Social Dinosaurs?
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DBCC CHECKIDENT
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Distributed Availability Group Health: T-SQL and Zabbix
Comments posted to this topic are about the item Distributed Availability Group Health: T-SQL...
Question of the Day
DBCC CHECKIDENT
What is returned as a result set when I run this command without a new seed value?
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