Session
Best practices and design patterns for Fabric Data Factory
In this session, we will share learnings from working with customers and partners. This session will cover best practices and design patterns for implementing end-to-end data integration solutions. You will learn tips and tricks and gotchas when designing data ingestion, data transformation, replication and orchestration work using Fabric Data Factory.
Learn how you can be successful with Data Factory pipelines, dataflows gen 2, copy job, mirroring, orchestration and more. Additionally, we will cover top of mind dataflow failures and folding mistakes that cause data flow performance delays and how to correct them. Join us in this session, as we share learnings, best practices, and design patterns that will enable you to be successful with Fabric Data Factory.

Sunil Sabat
Microsoft, Principal Program Manager, Azure Data
San Francisco, California, United States
Links
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