ADF.procfwk v1.2 – Execution Restartability

Code Project Overview This open source code project delivers a simple metadata driven processing framework for Azure Data Factory (ADF). The framework is delivered by coupling ADF with an Azure SQL Database that houses execution stage and pipeline information that is later called using an Azure Functions App. The parent/child metadata structure firstly allows stages … Continue reading ADF.procfwk v1.2 – Execution Restartability

ADF.procfwk v1.1 – Service Principal Handling via Metadata

Hi data friends! Version 1.1 of my ADF.procfwk is ready! Following the great response I got to the version 1.0 blog series I decided to push ahead and get version 1.1 out there as soon as possible. The main thing I've addressed with this release is the big problem of having hard coded service principal … Continue reading ADF.procfwk v1.1 – Service Principal Handling via Metadata

Creating a Simple Staged Metadata Driven Processing Framework for Azure Data Factory Pipelines – Part 4 of 4

In this four part blog series I want to share my approach to delivering a metadata driven processing framework in Azure Data Factory. This is very much version 1 of what is possible and where can we build on this to deliver a hardened solution for our platform orchestrator. For the agenda of this blog … Continue reading Creating a Simple Staged Metadata Driven Processing Framework for Azure Data Factory Pipelines – Part 4 of 4

Creating a Simple Staged Metadata Driven Processing Framework for Azure Data Factory Pipelines – Part 3 of 4

In this four part blog series I want to share my approach to delivering a metadata driven processing framework in Azure Data Factory. This is very much version 1 of what is possible and where can we build on this to deliver a hardened solution for our platform orchestrator. For the agenda of this blog … Continue reading Creating a Simple Staged Metadata Driven Processing Framework for Azure Data Factory Pipelines – Part 3 of 4

Creating a Simple Staged Metadata Driven Processing Framework for Azure Data Factory Pipelines – Part 2 of 4

In this four part blog series I want to share my approach to delivering a metadata driven processing framework in Azure Data Factory. This is very much version 1 of what is possible and where can we build on this to deliver a hardened solution for our platform orchestrator. For the agenda of this blog … Continue reading Creating a Simple Staged Metadata Driven Processing Framework for Azure Data Factory Pipelines – Part 2 of 4

Creating a Simple Staged Metadata Driven Processing Framework for Azure Data Factory Pipelines – Part 1 of 4

In this four part blog series I want to share my approach to delivering a metadata driven processing framework in Azure Data Factory. This is very much version 1 of what is possible and where can we build on this to deliver a hardened solution for our platform orchestrator. For the agenda of this blog … Continue reading Creating a Simple Staged Metadata Driven Processing Framework for Azure Data Factory Pipelines – Part 1 of 4

Azure Data Factory – Web Hook vs Web Activity

As Azure Data Factory continues to evolve as a powerful cloud orchestration service we need to update our knowledge and understanding of everything the service has to offer. Mainly, so we can make the right design decisions when developing complex, dynamic solution pipelines. In this post I want to explore and share the reasons for … Continue reading Azure Data Factory – Web Hook vs Web Activity

Using Data Factory Parameterised Linked Services

Microsoft recently announced that we can now make our Azure Data Factory (ADF) v2 pipelines even more dynamic with the introduction of parameterised Linked Services. This now completes the set for our core Data Factory components meaning we can now inject parameters into every part of our Data Factory control flow orchestration processes. Pipelines ✔ Activities … Continue reading Using Data Factory Parameterised Linked Services