Fabric Data Factory and Azure Data Factory Training – Summer 2025

I am excited to share Summer 2025 Azure Data Factory and Fabric Data Factory training deliveries from me!

Join me for live and online full day training deliveries:

A Day of Azure Data Factory Description

Do you want to learn more about cloud data integration using Azure Data Factory?
Is your enterprise planning to migrate its data, databases, data warehouses (or some of them) to the cloud?
Do you currently use SSIS?

If you answered yes, A Day of Azure Data Factory is for you!

This class is delivered live and online 9:00 AM-4:30 PM ET 17 Sep 2025.

In this session we provision an Azure Data Factory (ADF) and demonstrate many uses for ADF in the modern data enterprise, including:
– Editing ADF pipeline JSON
– Git integration
– Copying data with the copy data activity
– Parameters and use cases for parameterization (dynamic property values and expressions)
– Design patterns for the hybrid data estate
– Loading data from an on-premises data source
– Survey newer activities
– Debugging and troubleshooting ADF pipelines
– Looping, iteration, and conditionals
– Monitoring
– Execution automation (triggers + )
– ADF REST API
– Security required to interact with Azure Blob Storage, Azure SQL DB, REST API, integration runtimes, git, and on-premises (plus Key Vault)
– Provisioning and using integration runtimes

A Day of Fabric Data Factory Description

Do you want to learn more about data engineering using Fabric Data Factory?
Is your enterprise planning to migrate data engineering to the cloud?
Do you currently use SSIS or Azure Data Factory?

If you answered yes, A Day of Fabric Data Factory is for you!

This class is delivered live and online 9:00 AM-4:30 PM EDT 24 Sep 2025.

In this session, we discuss data engineering using Microsoft Fabric Data Factory, compare Azure Data Factory with Fabric Data Factory, and demonstrate how to use Fabric Data Factory for data engineering in the modern data enterprise.

Topics include:
– Making the move from Azure Data Factory to Fabric Data Factory
– Copying data
– Using preview activities (Outlook, Teams, etc.)
– Managing workflow (looping, iteration, conditionals)
– Using Parameters
– Metadata and design patterns
– Git integration
– Monitoring
– Debugging and troubleshooting
– Design patterns
– Interacting with on-premises data
– Execution frameworks
– ADF in Fabric Data Factory

I hope to see you there!

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Andy Leonard

andyleonard.blog

Christian, husband, dad, grandpa, Data Philosopher, Data Engineer; Azure Data Factory, Fabric Data Factory, and SSIS guy; and farmer. I was cloud before cloud was cool. :{>

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