Open source is at the heart of the modern data lakehouse, shaping how organisations achieve flexibility, interoperability, and performance at scale. This panel brings together leading community members from Apache Iceberg, Apache Arrow, and Apache Polaris to explore the present and future of Lakehouse OSS. Panelists will discuss how these projects are evolving, the challenges they’re addressing, and the opportunities they unlock for building truly open architectures. Join us for an engaging conversation on how open source innovation continues to push the boundaries of what’s possible in data platforms.

Discover how Genomics England is leveraging Dremio to modernise structured data storage and provisioning for the National Genomic Research Library. We’ll share how Dremio supports the management of data products today, and explore our future plans for enhancing user management, complex access control and enabling scalable, secure research access.

Enterprises are moving beyond AI experiments and copilots for individual productivity toward the next stage: the Agentic Enterprise, where AI agents drive insights, decisions, and workflows at scale. In this session, Rahim Bohjani, CTO of Dremio, will outline the enterprise AI maturity journey and show why most organizations are still stuck between prototypes and production outcomes. Through live demos and real-world use cases, you will see how Dremio’s open lakehouse platform provides the intelligent data foundation needed to advance. It delivers semantic consistency, zero ETL federation, autonomous optimization, and built-in governance. Learn how organizations can progress from isolated AI pilots to enterprise-wide impact, and why rethinking data architecture is essential for making AI deliver real business value.

Trusted Data Solutions in sensitive industries such as healthcare and the public sector must combine sovereignty, compliance, and scalability with the ability to integrate diverse data sources.
Danyel Gros and Marcel Just from STACKIT will share insights into how the sovereign cloud foundation of STACKIT and the open lakehouse platform of Dremio work together to provide consistent access, built-in governance, and efficient data management without heavy integration overhead.
This combination will be illustrated through the example of a Medical Data Platform, showing how sensitive information can be managed securely while enabling a scalable and future-proof data foundation for research and healthcare services.

In this session, DATEV outlines their data landscape and discuss pre-Dremio challenges. They showcase their current self-service analytics process using Dremio, detailing their technical infrastructure.

Ever felt like accessing production data requires a secret handshake with IT – and maybe some cookies? At Schaeffler, our data scientists decided it’s time to break the cycle. In this session, we’ll share how we’re using Dremio to make large-scale production data AVAILABLE TO ALL – no magic spells or endless helpdesk tickets required.

We’ll take you through:
The not-always-easy journey from “Can I have that dataset, please?” to true data democratization
Two real-world use cases that sparked our transformation, including our motivations and guiding principles
What it looks like behind the curtain
Where we’re heading next – AI, chatbots, and whatever disruptions come our way!

This talk takes you on a journey through the evolution of data transformation—from traditional rollout processes rooted in data warehouses, to modern, automated workflows designed for the lakehouse. We’ll explore practical approaches using Dremio and declarative frameworks like dbt, highlighting how teams can transition toward scalable, maintainable solutions. The session concludes with a look at Agentic AI: what’s already possible today, and where intelligent automation might take us next.