Azure Data Factory
-
What are Metadata-Driven Pipelines?
Metadata-driven pipelines are a data management solution that eliminates the need for considerable coding by identifying patterns in data connectivity and processing and therefore replaces the manual coding necessary for each data source. This method not only saves time but also decreases the possibility of mistakes. Furthermore, metadata-driven pipelines are highly scalable and versatile, easily Continue reading
-
What are the options for receiving alerts in Azure Data Factory?
In every data integration effort, pipelines monitoring is crucial. Microsoft Azure offers a feature that allows to create alerts for this purpose. This feature, available in Azure Data Factory, allows the selection of the target data factory metric for which an alert is required also it allows to configure the alert logic. It is possible Continue reading
-
What are the 5 most used Azure Data Factory activities?
According to the my experience in projects involving Azure Data Factories, the five most commonly used activities in Azure Data Factory are: Copy Activity This activity is used to copy data from a source to a destination data store, and is often used to transfer data from on-premises systems to the cloud. (Source: https://docs.microsoft.com/en-us/azure/data-factory/copy-activity-overview) Lookup Continue reading
-
How to document an Azure Data Factory ?
Here is a list of the proposed sections to include when it comes to document a Azure Data Factory. Continue reading
- May 2025 (6)
- April 2025 (11)
- March 2025 (1)
- December 2024 (1)
- November 2024 (1)
- October 2024 (1)
- September 2024 (1)
- August 2024 (1)
- July 2024 (1)
- December 2023 (1)
- November 2023 (2)
- October 2023 (1)
- April 2023 (1)
- March 2023 (7)
Systems, Architecture and Systems Architecture 