Trek Bikes Accelerates Retail Analytics
OVERVIEW
EXPERIENCE | In Person |
---|---|
TYPE | Breakout |
TRACK | Data Warehousing - Analytics and BI |
INDUSTRY | Retail and CPG - Food |
TECHNOLOGIES | Delta Lake, ETL, SQL Analytics / BI / Visualizations |
SKILL LEVEL | Beginner |
DURATION | 40 min |
DOWNLOAD SESSION SLIDES |
Trek migrated to the Databricks Data Intelligence Platform. Trek’s real-time point-of-sale data from a significant number of stores across the globe is seamlessly integrated into Databricks, unifying retail analytics like never before. During this session, discover how Trek Bicycles leverages Databricks and Qlik Cloud Data Integration to accelerate replication of relevant ERP data to their lakehouse from 48+hours to near real-time, feeding the bronze layer in seconds after the data is generated in stores. This architecture speeds up analytics by 80-90%, improves data accessibility with a single point of truth for all enterprise data, and reduces costs. You'll see how Trek uses Structured Streaming and Auto Loader functionality within Delta Live Tables to transform the data from Bronze to Silver or Gold, medallion architecture. Trek now provides strategic high-level insights for executives, while also delivering daily sales and operations insights tailored to individual stores.
SESSION SPEAKERS
Garrett Baltzer
/IT Data Architect
Trek Bicycle Corporation
Advait Raje
/Team Lead - BI/Data Engineering
Trek Bicycle Corporation