Unlocking the power of AWS AI and data with Salesforce
summary
Salesforce Data Cloud now offers a zero ETL bidirectional integration with Amazon Redshift that mounts Redshift tables as external data lake objects for real‑time federation and shares Data Cloud tables as Iceberg-based external tables via Lake Formation; pilot starts mid‑December and GA targets mid‑2024. Models train and serve on AWS: bring your own model with Amazon SageMaker (GA) and Bedrock integration arrives June 2024; a No‑Code Model Builder appears February 2024. Demos show segment creation in Data Cloud, activation to Marketing Cloud, and Redshift ML inference writing back for BI and activation.
AI-written summary · about
chapters (8)
- 0:00Introduction and agenda
- 1:49Data management challenges
- 5:20Overview of Salesforce Data Cloud
- 8:21Architecture and integration
- 13:55Bidirectional data sharing
- 21:51Demo: Data Cloud and Redshift
- 30:15AI strategy and model builder
- 36:58Demo: AI and model builder
related talks
01h 02mData warehousing reinvented for today’s needs
59mModern data lakes with Lake Formation, Amazon Redshift & AWS Glue
48mData warehousing reinvented for today’s needs
01h 01mBuilding comprehensive cloud data management
29mData foundation for analytics and AI
28mTurn Data Into Insights
28mModernize Your Data Warehouse
43mData warehousing reinvented for today's needs
