Data Lakehouse & AI Lunch (Virtual)

​Data Lakehouse & AI Lunch is a regular mid-day webinar series designed for data engineers, architects, and AI practitioners who want to stay current without disrupting their day. Each session delivers 1–3 short, focused talks that break down practical concepts, emerging trends, and real-world use cases across the data lakehouse and AI landscape.

​Hosted by The Data Lakehouse Hub (datalakehousehub.com) and sponsored by Dremio, this series creates a consistent space to learn, connect, and exchange ideas with the community.

​Each session is concise, practical, and actionable. Expect clear explanations, live demos, and insights you can apply immediately.

​Session Agenda (Varies Each Event):

• ​Talk 1: Alex Merced - Head of DevRel, Dremio
  
  Title
  Apache Iceberg V4: Where the Spec Is Headed and What It Means for Your Architecture

  • ​Description
    Apache Iceberg V4 represents a major shift in how table formats handle metadata, performance, and scale, but the story is still unfolding. In this session, we break down the current state of V4 based on active design discussions and proposals, separating what is speculative from what is gaining real traction. We will explore core themes such as single-file commits and adaptive metadata trees, metadata scalability challenges, and emerging ideas around column-level updates, partition representation, and optional metadata layers. You will also see how these proposals intersect with catalogs, especially REST-based architectures, and what that means for interoperability and system design. This talk gives you a grounded view of where Iceberg is going so you can make informed decisions today without betting on unfinished features.
    

• ​Talk 2: [Title Placeholder] – [Short description of topic and speaker]

• ​Talk 3: [Title Placeholder] – [Short description of topic and speaker]

​Join us over lunch to explore the future of data and AI—one session at a time.

Recordings will be posted on the data lakehousehub youtube channel.