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A Day of Fabric Data Factory with Andy Leonard, Pittsburgh SQL Saturday Pre-Con, Friday October 11 Cost: $125

Location: Commonwealth Charter Academy The Waterfront 149 W. Bridge Street Homestead, PA 15120

Do you want to learn more about cloud data integration using Fabric 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 or ADF? If you answered yes, A Day of Fabric Data Factory is for you! 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

Andy Leonard is a husband, dad, and grandfather; founder and Chief Data Engineer at both Enterprise Data & Analytics and Enterprise Data & AI; creator of – and Data Philosopher at – DILM (Data Integration Lifecycle Management) Suite; a Microsoft Fabric Data Factory, Azure Data Factory, and SSIS blogger, trainer, consultant, and developer; a SQL Server database and data warehouse developer; an author, mentor, engineer, and farmer.

To attend this full day precon, you must register here: https://www.eventbrite.com/e/a-day-of-fabric-data-factory-with-andy-leonard-tickets-950221547227

This event is a precon the day before Pittsburgh SQL Saturday. Make sure you register to attend SQL Saturday as well here: https://www.eventbrite.com/e/pittsburgh-sql-saturday-tickets-945110901147

Note: Registration is required and closes on May 13th.

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 Data Factory for data engineering in the modern data enterprise.

Topics include: - 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