DSU - The Lakehouse Architecture of the next generation of Amazon SageMaker | Amazon Web Services

Join Khendr'a Reid, Global Data and AI Specialist Leader, and Linda O'Connor, Principal GTM Specialist for Amazon SageMaker Lakehouse, as they explore the next generation of Amazon SageMaker and its revolutionary lakehouse architecture built on Apache Iceberg. Discover how AWS is breaking down data silos and unifying data, analytics, and AI at scale to help organizations become truly data-driven.

Key Topics Covered:

00:00 - Introduction to the next generation of Amazon SageMaker
01:00 - What is the next generation of Amazon SageMaker
07:13 - How Apache Iceberg compatibility enables technical flexibility and business agility
10:27 - Security and governance capabilities for balancing accessibility with compliance
12:00 - Zero-ETL integrations for bringing SaaS application data to your lakehouse

What You'll Learn:

Dive deep into how the next generation of Amazon SageMaker brings together AWS' most comprehensive set of data, analytics, and AI tools on an open lakehouse architecture. Learn how this unified platform enables seamless collaboration between data analysts, scientists, and AI engineers across the entire workflow—from SQL queries and ETL jobs to model building and application development.

Discover how the Apache Iceberg compatibility of Amazon SageMaker provides flexibility to use any Iceberg-compatible engine while maintaining a single copy of your data across data lakes, warehouses, and operational databases. Explore zero-ETL integrations with Salesforce, ServiceNow, and SAP that enable near real-time insights without complex pipeline management, plus critical enterprise capabilities including fine-grained access control and governance integration with AWS Lake Formation.

Learn More:

Amazon SageMaker: https://go.aws/4pdV5KG
Amazon SageMaker Zero-ETL: https://go.aws/3JFLttr

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