Virtual Option
Can’t attend in person? No problem, we’ll also be streaming an online webinar from the event. Click below to register:
Overview
Tyler Faulkner
Xorbix – Software and Data Engineer II
Topics: LakeBase: Operational OLTP Database
Getting LakeBase Up and Running: Walk through spinning up a fully managed Postgres instance on Databricks—show the one-click setup, workspace integration, and how you can jump straight into Databricks SQL (and pgAdmin) for instant queries.
Unity Catalog ↔ LakeBase Sync: Demonstrate two-way synchronization—pull Delta Lake tables into Postgres with optional indexes, then push updated feature or model data back into Unity Catalog for consistent, governed analytics.
Deep Integration with Databricks Apps: Highlight how LakeBase plugs directly into Databricks Apps to power fast, secure operational applications—feature serving, state management, and real-time insights all under one roof.
Upcoming Features & Q&A: Discuss upcoming features such as database branching for safe schema experiments, and autoscaling compute. Then, open the floor for questions on operationalizing LakeBase in your stack.
Use Case Presentation:
Fred Heller
Hitachi Solutions America – Senior Director Data Science & AI
Data to Decisions – Business value through Databricks Data Intelligence
Transform data into outcomes with the power of unified analytics and AI in today’s data-rich and insight-poor environment, organizations struggle to turn fragmented data into actionable business outcomes. This talk explores how Databricks empowers enterprises to solve domain-specific problems by unifying data engineering, analytics, and AI on a single platform. We will highlight real-world use cases across industries.
Agenda:
5:30PM to 5:35PM – Introduction
5:35PM to 6:00PM – Use Case Presentation and Q/A
6:00PM to 6:30PM – LakeBase Presentation
6:30PM to 7:00PM – Questions Networking
In-person and Virtual attendance options 
Wantable Cafe
123 East Walker Street,
Milwaukee, WI 53204