Databricks + Salesforce: The Future of Customer Data
Join Vincent (Manager of Field Engineering at Databricks) and Jag Jani (Senior Solution Engineer at Salesforce) from the Canadian Dream Team as they deep dive into the powerful Databricks and Salesforce integration. This session showcases how organizations can achieve a seamless, zero-copy flow of customer data and AI, empowering sales, marketing, and service teams directly within their flow of work.
Chapters
• 0:00 - Introduction to the Databricks & Salesforce Integration Team
• 0:50 - The Four Pillars of Databricks & Salesforce Partnership
• 2:20 - Understanding Salesforce Data Cloud
• 3:00 - Data Ingestion & Direct Access with Data Cloud (Bring Your Own Lake)
• 4:00 - Sales User Experience: Visualizing Lakehouse Data in Salesforce
• 4:30 - Activating Data with AI: Einstein's Prompt Builder for Sales Reps
• 5:55 - The Databricks Backend: Managing Data & Building Models with AutoML
• 7:00 - Deploying & Serving Models for Real-Time Inference
• 7:40 - Integrating External Models into Salesforce via Einstein Studio
• 9:00 - Activating Predictions in Salesforce: Churn Management with Einstein
• 10:00 - Expanding Use Cases & Closing the Data-AI Loop
• 11:15 - Observing Usage & Optimizing Costs: Databricks Query Tracking
• 12:15 - Conclusion & Seamless Platform Integration
NextGenLakehouse, Youssef Mrini, Databricks
#Databricks #DeltaLake #Delta #UnityCatalog #ETL #DataEngineering
Databricks DeltaLake Delta UnityCatalog ETL Data Engineering