Gaston Cruz
Slalom
LEARN, CONNECT, BUILD
Klaar om aan de slag te gaan met AI en de nieuwste technologieën? Microsoft Reactor biedt evenementen, training en communitybronnen om ontwikkelaars, ondernemers en startups te helpen bouwen op AI-technologie en meer. Kom kijken.
LEARN, CONNECT, BUILD
Klaar om aan de slag te gaan met AI en de nieuwste technologieën? Microsoft Reactor biedt evenementen, training en communitybronnen om ontwikkelaars, ondernemers en startups te helpen bouwen op AI-technologie en meer. Kom kijken.
29 april, 2026 | 3:00 p.m. - 4:00 p.m. (UTC) Coordinated Universal Time
Onderwerp: AI-toepassingen
Taal: Engels
In a world of multiple tools and endless data sources, how do you design the right integration strategy in Microsoft Fabric?
Join us for a live demo-driven session that breaks down the real-world patterns, use cases, and best practices for landing, transforming, and orchestrating data in Microsoft Fabric.
Whether you're working with a Lakehouse, Data Warehouse, Eventhouse, or SQL Database, this session gives you the playbook to select and combine the right tools for the job.
We'll walk through:
Landing data using Data Pipelines, OneLake shortcuts, and external connections
Transforming and cleaning data using Notebooks (Spark) for scale and flexibility
Business logic and last-mile transformation using Dataflows Gen2
How to orchestrate it all using Fabric Data Pipelines for repeatable, maintainable workflows
When and why to land your data into Lakehouses, Data Warehouses, Eventhouses, or SQL endpoints
You'll walk away with:
A clear understanding of which tools to use when across the Fabric integration stack
A working knowledge of how to combine multiple integration techniques in one solution
Architecture patterns and decision criteria for building scalable data landing zones
Live demos you can replicate to accelerate your own Fabric journey
Sprekers
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Deze gebeurtenis maakt deel uit van de Fabric Data Days Monthly Sessions Series.
Klik hier om ga naar de pagina Reeks waar u alle aanstaande en on-demand gebeurtenissen kunt zien.