Hyunsoo Lee
Employers on the program
- 2026Databricks2 talks
The year around now
Talks in the past 12 months and announced talks ahead, one row per conference, January to December. Hover a mark for the talk.
Appearances by year
- Data + AI Summit
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Jun 15, 2026 | Data + AI Summit 2026 | Data + AI Summit | workshop | AI/BI for Data Analysts as Databricks In this hands-on course, you’ll learn how to use the features Databricks provides for business intelligence needs: AI/BI Dashboards and AI/BI Genie. As a…Show lessIn this hands-on course, you’ll learn how to use the features Databricks provides for business intelligence needs: AI/BI Dashboards and AI/BI Genie. As a Databricks Data Analyst, you will be tasked with creating AI/BI Dashboards and AI/BI Genie Spaces within the platform, managing the access to these assets by stakeholders and necessary parties, and maintaining these assets as they are edited, refreshed, or decommissioned over the course of their lifespan. This course intends to instruct participants on how to design dashboards for business insights, share those with collaborators and stakeholders, and maintain those assets within the platform. Participants will also learn how to utilize AI/BI Genie Spaces to support self-service analytics through the creation and maintenance of these environments powered by the Databricks Data Intelligence Platform. Note: Hands-on training courses will be updated to reflect the newest product and feature announcements from Data + AI Summit in June 2026. Prerequisites - Basic SQL proficiency for querying data in Databricks - Basic familiarity with the Databricks Workspace UI - Basic understanding of statistical analysis and data interpretation -… | |
| Jun 15, 2026 | Data + AI Summit 2026 | Data + AI Summit | workshop | Architecting Data Warehouses for Large-Scale Deployments as Databricks This advanced, half-day course covers how to architect Databricks SQL environments for enterprise scale — supporting hundreds or thousands of users across…Show lessThis advanced, half-day course covers how to architect Databricks SQL environments for enterprise scale — supporting hundreds or thousands of users across multiple business units. Participants will learn about designing scalable data ingestion pipelines with Lakeflow, planning multi-workspace and Unity Catalog strategies, implementing fine-grained security using row filters, column masks, and ABAC policies, and deploy solutions using Declarative Automation Bundles and GitOps. The course includes hands-on labs and demos. Prerequisites Working knowledge of Databricks SQL (SQL Editor, warehouses, dashboards, query profiles) Unity Catalog fundamentals (three-level namespace, privileges, managed vs. external tables) Delta Lake essentials (ACID, time travel, OPTIMIZE, VACUUM) Cloud infrastructure concepts: Cloud storage, Networking, IAM, and Infrastructure-as-Code basics Data warehousing concepts (medallion architecture, ETL/ELT, star schemas, multi-environment strategies) Databricks workspace administration experience (users, groups, service principals, SSO) Note: Hands-on training courses will be updated to reflect the newest product and feature announcements from Data + AI Summit in… |
Frequent co-speakers
No one else spoke at two or more of the same events.
Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.