Databricks Serverless for Notebooks, Jobs, and DLT

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# 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

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