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Wisconsin Databricks User Group August meetup: Serverless for Notebooks, Jobs, and DLT

Theresa-Xorbix
New Contributor III

Register - In Person

Register - Virtual

Featured Speakers

Databricks Serverless:

Ryan Shiva
Xorbix Software and Data Engineer II and Databricks MVP

Use Case Presentation: 

Devin Vanderwood
Jockey International Machine Learning Engineer

Topics:

Use Case Presentation

 

– Devin Vanderwood will showcase a real-world implementation of MLflow in production, highlighting how Jockey uses Databricks Jobs to automate and optimize clearance pricing.

– Learn how ML models are logged, tracked, and deployed using MLflow, and how a single Databricks Job orchestrates the entire pricing pipeline – enabling scalable, automated inference at enterprise scale.

– This session will provide practical insights into operationalizing machine learning workflows, with a focus on task orchestration, job scheduling, and reproducibility within the Databricks Lakehouse environment.

Databricks Serverless

– Ryan Shiva will present recent enhancements to Serverless on Databricks, including new performance optimizations and the introduction of Standard mode for cost-conscious workloads. Learn how serverless automatically manages infrastructure while continuously improving performance and efficiency.
– Explore the expanded cost management capabilities for Serverless, including improved cost visibility, budget controls, and upcoming features for managing user access and spending limits.
– Q&A and Discussion: Open forum for questions about serverless computing and best practices for your organization.

Agenda:

5:30PM to 6:00PM – Networking

6:00PM to 6:20PM – Use Case Presentation

6:20PM to 7:20PM – Databricks Serverless Presentation

7:20PM to 7:30PM – Questions and wrap up

Register - In Person

Register - Virtual

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