New Data Factory Training Delivery Dates

Posted on Updated on by Andy LeonardCategories:Azure Data Factory, Fabric Data Factory, Training

I’m honored to announce new data factory training delivery dates for the summer of 2024!

View the current Live Online Training schedule at Enterprise Data & Analytics:

Two updates:

  1. Based on feedback from the 24 Jun delivery of A Day of Fabric Data Factory, course attendance is limited to 10 attendees to encourage individual participation.
  2. Prices for July course deliveries increase 1 Jul and increase again 15 Jul. Prices for August course deliveries increase 1 Aug and increase again 15 Aug.

A Day of Fabric Data Factory

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 newer activities (Outlook, Teams, etc.
– Managing workflow (looping, iteration, conditionals)
– Using Parameters
– Metadata and design patterns
– Version control integration
– Monitoring
– Debugging and troubleshooting
– Design patterns
– Interacting with on-premises data
– Execution frameworks

A Day of Azure Data Factory

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
– Version control 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

Andy Leonard

andyleonard.blog

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

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