Session
ThredUp’s Journey with Databricks: Modernizing Our Data Infrastructure
Overview
Experience | In Person |
---|---|
Type | Breakout |
Track | Data Lakehouse Architecture and Implementation |
Industry | Enterprise Technology, Media and Entertainment, Retail and CPG - Food |
Technologies | Delta Lake, AI/BI, Unity Catalog |
Skill Level | Intermediate |
Duration | 60 min |
Building an AI-ready data platform requires strong governance, performance optimization, and seamless adoption of new technologies. At ThredUp, our Databricks journey began with a need for better data management and evolved into a full-scale transformation powering analytics, machine learning, and real-time decision-making.
In this session, we’ll cover:
- Key inflection points: Moving from legacy systems to a modernized Delta Lake foundation
- Unity Catalog’s impact: Improving governance, access control, and data discovery
- Best practices for onboarding: Ensuring smooth adoption for engineering and analytics teams
- What’s next? Serverless SQL and conversational analytics with Genie
Whether you’re new to Databricks or scaling an existing platform, you’ll gain practical insights on navigating the transition, avoiding pitfalls, and maximizing AI and data intelligence.
Session Speakers
Chintan Patel
/Data Engineering Manager
Thredup
IMAGE COMING SOON
Aniket Mane
/VP, Data Engineering and Enterprise Apps
ThredUp