Christopher Schmidt
Principal Program Manager, Microsoft
Columbus, Ohio, United States
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Christopher Schmidt is a Principal Program Manager with deep expertise in real-time data systems, specializing in message streaming and event-driven architectures. At the forefront of Microsoft’s efforts in modern data platforms, Christopher has led initiatives that transform how organizations harness streaming data for intelligent, scalable decision-making. His work spans resilient, low-latency pipelines to AI-led consumption technologies.
Area of Expertise
Topics
Patterns and Practices for Real Time Intelligence Implementations in Microsoft Fabric
Organizations are transforming operations by turning streaming data into immediate action. In this technical session, we'll explore implementation patterns from real-world customer deployments - showing how businesses ingest event data from IoT devices, PoS systems, and enterprise applications to enable predictive actions and automated responses. We'll walk through scenarios ranging from manufacturing efficiency to emissions detection, inventory optimization to delivery tracking, demonstrating how to combine real-time events with historical data for comprehensive insights.
You'll learn practical approaches for building solutions process events at scale, whether you are using that data for Power BI reports or real-time AI systems. Whether you're starting your Real-Time Intelligence journey or scaling existing deployments, this session will equip you with architectural patterns and best practices already delivering measurable business impact in production environments.
Key Takeaways:
• Architectural patterns for ingesting, processing, and acting on event-driven, high-velocity data at enterprise scale
• How and where to combine real-time event processing with historical analytics for dynamic insights
• Approaches for building event-driven solutions that automate decision-making and reduce latency
Real-world implementation lessons from customers across multiple industries and use cases
Supercharge your analytics with Microsoft Fabric Real Time Intelligence
For many years, data has been primarily batch loaded from sources on fixed schedules, resulting in operational challenges, outdated data, and delayed insights. The introduction of Lambda architecture aimed to mitigate these issues by accelerating some data processing. Now, with Microsoft Real Time Intelligence, we can easily enhance analytics architecture to easily integrate "hot-path" approaches to make data available faster.
In this instructional session, we will explore how to integrate event sourcing and other microservices patterns to achieve real-time data integration using Microsoft Fabric. Attendees will learn practical techniques and best practices for implementing these patterns to ensure seamless and efficient data flow.
Diving into Event-Driven Architectures in Microsoft Fabric with Real Time Intelligence
Real-time intelligence is revolutionizing the way we process and analyze data, making operations faster and more efficient across various applications. In this session, we'll explore how Microsoft Fabric empowers you to harness event-driven architectures in a low code SaaS platform, transforming data in flight. We'll dive into the core concepts, practical applications, and best practices that make these architectural systems the most powerful data pipelines you've ever seen. Due to its powerful engine, we can even perform complex tasks like anomaly detection and predictive analytics directly on the streams of data as they are being processed!
You will learn:
-Grasp the basics of real-time data processing and event-driven architectures
-Understand how data transformations work in real-time messaging systems and how they differ from traditional data pipelines
-Various action systems that can be used to integrate data into the fabric of the business
Make your data speak: Real Time AI Implementation Patterns in Microsoft Fabric
Stop refreshing dashboards and start acting in real time. In this session, we'll explore practical, real world scenarios for building conversational experiences, agent-driven applications, and anomaly detection leveraging Fabric Real Time Intelligence. When data teams can change from being report factories to embedded business partners, they unlock new revenue streams and optimize processes at scale. You'll learn how to:
- Integrate organizational data into real-time applications
- Trigger workflows and alerts using AI
- Chat with real time data in Microsoft Teams
Inside Eventhouse: The Secrets Behind High-Speed Data Ingestion and Querying
Ever wondered why Eventhouse endpoints deliver blazing performance at scale? This session takes you under the hood of Kusto’s architecture, exploring ingestion strategies like micro-batching vs. streaming, the query engine’s optimization techniques, and how Eventhouse achieves low-latency responsiveness. Whether you’re building real-time analytics or managing massive data flows, you’ll leave with practical insights to design high-performance solutions.
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