Azure Data Integration Pipelines - A Complete Introduction
2022TL; DR
In this session we’ll take and end-to-end look at our Azure based data pipeline tools when orchestrating highly scalable cloud native services.
Session Details
Azure Data Factory along with other Integration Pipeline technologies is now a core resource for any data platform solution, offering critical control flow and data flow capabilities. In this session we’ll take and end-to-end look at our Azure based data pipeline tools when orchestrating highly scalable cloud native services. In this complete introduction session, we will cover the basics of Azure Data Factory and Azure Synapse Analytics Pipelines. What do we need to build cloud ETL/ELT workloads? What’s the integration runtime? Do we have an SSIS equivalent cloud data flow engine? Can we easily lift and shift existing SSIS packages into the cloud? The answers to all these questions and more. Come to this session knowing nothing about Azure Data Integration Pipelines and leave with enough knowledge to start building pipelines tomorrow.
3 things you'll get out of this session
Speakers
Paul Andrew's other proposed sessions for 2026
An Evolution of Cloud Data Architectures - Lambda, Kappa, Delta, Mesh & Fabric - 2026
An Introduction to Delta Lake and The Lakehouse - 2026
Build a Lakehouse in a Day with Metadata & Open-Source Tools - 2026
Building Near Real-time Data Solutions in Microsoft Azure & Fabric - 2026
Data & Community: An Amazing Network Of Peers Supporting Innovation & Growth - 2026
Data Modelling: The Lost Art of Turning Inputs into Insights - 2026
Deciphering Data Architectures full-day workshop - 2026
Designing & Delivering Data Products: From Mesh Principles to Data Fabric Automation - 2026
Fabric Data Activator: Real-Time Data Feeds, Automated Alerts & Stock Intelligence - 2026
Fast-Track Your Lakehouse Build with a Metadata Framework - 2026
Microsoft Fabric Platform Governance - Where To Start - 2026
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.