From Hours to Seconds: Panasonic’s Global Scale Engineering With the Data Intelligence Platform
Overview
| Experience | In Person |
|---|---|
| Track | Data Engineering & Streaming |
| Industry | Manufacturing |
| Technologies | Lakeflow, Unity Catalog, Agent Bricks |
| Skill Level | Intermediate |
Panasonic’s global footprint—from EV batteries to smart mobility—demands real-time precision. To fulfill the vision of "making tomorrow better," Panasonic transformed its data backbone into a unified Lakehouse. This session explores the engineering feat of unlocking SAP, Salesforce and SharePoint data, slashing SAP data latency from 2 hours to just 5 seconds.
Learn how Panasonic is scaling from a single use case to an enterprise-wide strategy, deploying Lakeflow Connect to unify ingestion across multiple data sources and AI Query to structure unstructured data.
We’ll also review strategic deployment of Auto Loader and Lakeflow Spark Declarative Pipelines for high-scale CDC and Unity Catalog for cross-domain lineage and governance. And hear how automation and Lakeflow Jobs have eliminated overhead and empowered 10+ global teams.
Finally, we’ll preview our roadmap for AI Agents, showing how a robust engineering foundation enables the next generation of autonomous intelligence.
Session Speakers
Brendan Byrne
/Data Engineer
Panasonic USA
Priyanka Kasliwal
/Sr Solutions Engineer
Databricks