How data prep on AWS empowers Autodesk customer analytics
summary
Autodesk builds a reproducible pipeline using Trifacta on AWS and Snowflake to join financial and product ownership tables that previously required a 1,000,000-row mapping table and Excel subqueries on ~90,000 IDs. The team replaces fragile manual joins with saved Trifacta flows and recipe-driven joins, cutting first-run transformation time from ~3+ hours to ~1 hour and reducing refreshes from hours or days to minutes, lowering error risk and freeing time for deeper analysis.
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chapters (15)
- 0:00Introduction
- 0:13Agenda
- 0:57What is Autodesk
- 2:04Market Intelligence
- 3:00Sample Project Lifecycle
- 4:59Use Case
- 8:00AWS Trifecta Snowflake
- 9:06The new process
- 9:49The organized step
- 10:15The connection tool
- 10:29The join function
- 11:06Save in a flow
- 11:24Run the job
- 11:52Results
- 14:17Thank you
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