Session
Maximizing Business Value and Ensuring Data Privacy with Databricks in Connected Vehicles
Overview
Experience | In Person |
---|---|
Type | Breakout |
Track | Data Lakehouse Architecture and Implementation |
Industry | Manufacturing |
Technologies | Apache Spark, Delta Lake, Unity Catalog |
Skill Level | Intermediate |
Duration | 40 min |
As global data privacy regulations tighten, balancing user data protection with maximizing its business value is crucial.This presentation explores how integrating Databricks into our connected-vehicle data platform enhances both governance and business outcomes.
We’ll highlight a case where migrating from EMR to Databricks improved deletion performance and cut costs by 99% with Delta Lake.
This shift not only ensures compliance with data-privacy regulations but also maximizes the potential of connected-vehicle data.
We are developing a platform that balances compliance with business value and sets a global standard for data usage, inviting partners to join us in building a secure, efficient mobility ecosystem.
Session Speakers
IMAGE COMING SOON
Yoshihiro Oe
/室長
トヨタ自動車