Session
End-to-End Interoperable Data Platform: How Bosch Leverages Databricks Supply Chain Consolidation
Overview
Experience | In Person |
---|---|
Type | Breakout |
Track | Data Lakehouse Architecture and Implementation |
Industry | Enterprise Technology, Manufacturing |
Technologies | Delta Lake, Databricks SQL, Unity Catalog |
Skill Level | Intermediate |
This session will showcase Bosch’s journey in consolidating supply chain information using the Databricks platform. It will dive into how Databricks not only acts as the central data lakehouse but also integrates seamlessly with transformative components such as dbt and Large Language Models (LLMs). The talk will highlight best practices, architectural considerations, and the value of an interoperable platform in driving actionable insights and operational excellence across complex supply chain processes.
Key Topics and Sections
- Introduction & Business Context
- Brief Overview of Bosch’s Supply Chain Challenges and the Need for a Consolidated Data Platform.
- Strategic Importance of Data-Driven Decision-Making in a Global Supply Chain Environment.
- Databricks as the Core Data Platform
- Integrating dbt for Transformation
- Leveraging LLM Models for Enhanced Insights
Session Speakers
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Satish Karunakaran
/Development Lead
Robert Bosch GmbH
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Marc-Alexander Frey
/Project Lead Logistics Innovations
Robert Bosch GmbH