Скачать или смотреть Clemens Vasters - Bringing Clarity to Event Streams - EventCentric 2025

EventCentric 2025 - Organised by Aardling (https://aardling.eu/)
https://eventcentric.eu
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Event streams are central to delivering actionable insights for analytics and AI. However, without rich metadata to contextualise these streams, data consumers often struggle with inconsistencies, poor quality, and a lack of interpretability. By leveraging metadata as a cornerstone of event stream architecture, organisations can unlock clarity in their streaming data, bridging the gap between raw event streams and actionable insights. This clarity not only enhances the quality and usability of event streams but also ensures alignment between developers, analysts, and AI systems, enabling them to extract maximum value from data in motion.

This session explores how rich metadata transforms event streams into a reliable foundation for advanced analytics and AI workflows. We will examine the role of schema definitions, semantic annotations, and cataloging practices in improving data quality and context. Attendees will gain practical insights into building metadata-enriched event stream pipelines, fostering collaboration between data producers and consumers, and enabling AI models to operate with greater precision. Whether you are developing real-time applications or enhancing decision-making with AI, this talk will provide actionable strategies to harness the power of rich metadata in event streaming.

About Clemens Vasters:
Clemens Vasters is Lead Architect in Microsoft’s Azure Messaging team that builds and operates a fleet of hyper-scale messaging services, including Event Grid, Service Bus, Event Hubs, Stream Analytics and Microsoft Fabric Eventstreams. Clemens represents Microsoft in messaging standardisation in OASIS (AMQP, MQTT) and CNCF (CloudEvents, xRegistry) and writes too much code for being an "Architect". He looks back at nearly 30 years in professional software development and has seen the same fashion come and go a few times.