22-25 April 2026
SQLBits 2020

Using Azure DevOps for Azure Data Factory

DevOps as a concept does not always translate to the technology when implemented. In this session we'll explore that problem when working with Azure Data Factory and what the different cloud only CI/CD options are.

DevOps as a process is here to stay and is typically a must have requirement for any data platform solution. But how does the concept translate to the technology when implemented? Sadly, the answer isn’t always straight forward. In this short session I’ll introduce how we can continuously integrate and deliver our cloud orchestration resource Azure Data Factory (ADF). We’ll discuss three options for getting our service JSON deployed to production using the popular Azure DevOps environment, previously known as VSTS, and think about the suitability of the Microsoft provided ARM templates for our highly dynamic orchestrator. Does the ADF portal UI really support the DevOps methodology? Can we confidently publish our pipelines? How should we handle the branching of our source code for ADF developers? The answers to all these questions and more in this lightning session. All based on real world experience with the products.

Speakers

Paul Andrew

mrpaulandrew.com

Paul Andrew's previous sessions

An Evolution of Data Architectures - Lambda, Kappa, Delta, Mesh & Fabric
How has advancements in highly scalable cloud technology influenced the design principals we apply when building data platform solutions?
 
Building an Azure Data Analytics Platform End-to-End
Based on real world experience let’s think about just how far the breadth of our knowledge now needs to reach when starting from nothing and building a complete Microsoft Azure Data Analytics solution.
 
Creating a Metadata Driven Orchestration Framework Using Azure Data Integration Pipelines
We'll explore delivering this framework within an enterprise and consider an architect’s perspective on a wider platform of ingestion/transformation workloads with multiple batches and execution stages.
 
ETL in Azure Made Easy with Data Factory Data Flows
What happens when you combine a cloud orchestration service with a Spark cluster?! The answer is a feature rich, graphical, scalable data flow environment to rival any ETL tech we’ve previously had available in Azure.
 
Using Azure DevOps for Azure Data Factory
DevOps as a concept does not always translate to the technology when implemented. In this session we'll explore that problem when working with Azure Data Factory and what the different cloud only CI/CD options are.
 
Complex Azure Orchestration w Dynamic Data Factory Pipelines
If you have already mastered the basics of Azure Data Factory (ADF) and are now looking to advance your knowledge of the tool this is the session for you.
 
Building an End to End IoT Solution Using Pi Sensors & Azure
Demonstrating an end to end IoT solution providing real-time sensor data from a Raspberry Pi into an Azure IoT Hub, through Stream Analytics, then with outputs to Power BI and SQL DB. Learn how to build this simplified IoT solution from scratch.