Architecture Best Practices for Analytics & Big Data
AWS re:Invent 2025
CEO Matt Garman shares how AWS is shaping the future of cloud tech
Join AWS CEO Matt Garman to hear how AWS is innovating across every aspect of the world’s leading cloud. He explores how we are reinventing foundational building blocks as well as developing brand new experiences, all to empower customers and partners with what they need to build a better future.
AI agents in action: Architecting the future of applications
Explore how agentic AI is transforming cloud-native application architecture, unlocking faster innovation cycles and entirely new application patterns. Learn how new AWS capabilities empower builders to design secure, reasoning-driven agents that orchestrate data, code, and tools at scale, with an emphasis on governance, reliability, and cost efficiency. Discover how AWS customers are deploying production-ready agents today, and learn best practices to help you architect agentic applications that autonomously adapt, optimize, and act in real-time.
Accelerate analytics and AI with an open and secure lakehouse architecture
Join this session to explore how to build a unified, open, and secure data lakehouse architecture, fully compatible with Apache Iceberg, in Amazon SageMaker. Learn how the lakehouse breaks down data silos and opens your data estate, offering flexibility to use your preferred query engines and tools that accelerate time to insights. Learn about recent launches that improve data interoperability and performance, and enable large language models (LLMs) and AI agents to interact with your data. Discover robust security features, including consistent fine-grained access controls, attribute-based access control, and tag-based access control that help democratize data without compromises.
Data Processing architectures for building AI solutions
Join us to learn how to revolutionize your data platforms with cutting-edge AI solutions on Amazon EMR. Discover how to leverage EMR to build robust, scalable infrastructure that enables enterprises to develop and deploy AI agents at scale. We'll dive deep into proven migration strategies for running massive data workloads while optimizing cost-efficiency and security, explore architectural patterns that power successful data-driven AI initiatives, and share critical considerations from enterprises who've completed similar modernization efforts. Whether you're beginning your data platform modernization journey or optimizing existing implementations, this session delivers actionable strategies to accelerate your organization's path to AI-powered data excellence.
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