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WEBINAR

Modern Data Architectures in Azure & Microsoft Fabric: Building for Agility, Scale, and AI

Meet The Presenters

Tom Lilly

Field CTO, Cloud
Tom has over a decade of IT consulting experience, starting in help desk before moving into specializations like collaboration, private cloud, and AWS migration and modernization. He excels in working to understand clients’ cloud migration goals and develops holistic plans that encompass an end-to-end cloud journey. Tom has expert level knowledge of topics around modernization, DevOPs, endpoint management and security, application modernization, hybrid cloud implementation, and traditional IaaS migrations to the cloud.

Shean McManus

Field CTO, Modern Apps & Data
Shean brings over 25 years of expertise in delivering IT solutions across diverse domains, including application development, collaboration, modern data platform engineering, and artificial intelligence. He excels at identifying client challenges and translating them into actionable strategies. Shean possesses expert-level proficiency with Microsoft Fabric and is highly experienced in establishing robust data platforms for clients.

About this talk

The explosion of data and demand for AI-driven insights are reshaping how organizations design and manage data platforms. Join Netrix Field CTOs Tom Lilly and Shean McManus as they break down the key components of a modern data architecture built on Microsoft Azure and Microsoft Fabric. You’ll learn how to unify data across silos, enable real-time analytics, and future-proof your data strategy for AI innovation. Whether you’re modernizing legacy systems or scaling your data footprint, this session will offer practical guidance, architecture insights, and real-world use cases to help you accelerate value from your data investments. Key Takeaways: > Core pillars of a modern data architecture in Azure > How Microsoft Fabric simplifies and unifies data workloads > When to use Azure vs. when to use Fabric > Strategies for operational efficiency, scalability, and AI-readiness > Common pitfalls to avoid and success stories from the field
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