Prerequisite: None
The modern data stack is undergoing rapid change as organizations push for scalable analytics, operational intelligence, and AI-enabled capabilities. In this session, TDWI research fellow David Loshin will examine the key business and practical drivers behind these shifts and will outline the architectural patterns redefining modern data foundations—including cloud-native data warehouses, data lakehouses, data mesh, data fabric approaches, semantic layers, and open table formats such as Apache Iceberg and Delta Lake.
Loshin will explore core concepts around implementation strategies, the role of emerging platforms, and how open frameworks and libraries can accelerate development while avoiding unnecessary lock-in. He will also look at persistent challenges, from integration complexity and governance friction to maintaining reliable, high-quality data pipelines.
Loshin will then lead a panel of experts in an engaging conversation about the modern data stack: the drivers, technologies, and strategies that organizations are adopting to stay ahead.
Attendees will walk away with a clear understanding of the evolving landscape and actionable guidance for designing adaptable, future-ready data architectures.