Session
The Full Stack of Innovation: Building Data and AI Products With Databricks Apps
Overview
| Experience | In Person |
|---|---|
| Type | Deep Dive |
| Track | Data Lakehouse Architecture and Implementation |
| Industry | Enterprise Technology, Professional Services, Financial Services |
| Technologies | Databricks SQL, Mosaic AI, Databricks Apps |
| Skill Level | Intermediate |
| Duration | 90 min |
In this deep-dive technical session, Ivan Trusov (Sr. SSA @ Databricks) and Giran Moodley (SA @ Databricks) — will explore the full-stack development of Databricks Apps, covering everything from frameworks to deployment.
We’ll walk through essential topics, including:
- Frameworks & tooling — Pythonic (Dash, Streamlit, Gradio) vs. JS + Python stack
- Development lifecycle — Debugging, issue resolution and best practices
- Testing — Unit, integration and load testing strategies
- CI/CD & deployment — Automating with Databricks Asset Bundles
- Monitoring & observability — OpenTelemetry, metrics collection and analysis
Expect a highly practical session with several live demos, showcasing the development loop, testing workflows and CI/CD automation. Whether you’re building internal tools or AI-powered products, this talk will equip you with the knowledge to ship robust, scalable Databricks Apps.
Session Speakers
Ivan Trusov
/Senior Specialist Solutions Architect
Databricks
Giran Moodley
/Regional Architect, Africa & Middle East
Databricks