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Oracle's Open Data Platform for Multicloud Data Lakes and Lakehouses

Oracle via YouTube

Overview

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Explore Oracle's revolutionary approach to multicloud data management through this comprehensive solution keynote from Oracle AI World 2025. Discover how Oracle's open data platform seamlessly combines the flexibility of Apache Iceberg with enterprise-grade performance, reliability, and AI capabilities to create an open-by-design architecture that operates across any cloud environment without vendor lock-in. Learn from Cetin Ozbutun, Oracle's executive vice president of data warehouse and autonomous AI database technologies, as he demonstrates how to unlock powerful business insights through unified analytics solutions that integrate enterprise AI, advanced analytics, and flexible data lakes. Examine a real-world customer success story featuring Mars Veterinary Health's implementation of real-time enterprise analytics at scale, showcasing practical applications of Oracle's technology in operational environments. Understand the key advantages of Oracle AI Lakehouse, including its high-performance features, built-in tools, and expansion capabilities that enable organizations to quickly operationalize AI insights directly within business operations. Witness live demonstrations of unified multicloud data access, analysis workflows, and AI integration that illustrate how the platform's catalog of catalogs approach enables seamless multicloud interoperability. Delve into advanced technical features such as Data Lake Accelerator and Exadata Caching that enhance performance, while exploring how Oracle brings full AI and analytics capabilities to Iceberg tables. Master the platform's three foundational pillars of no vendor lock-in, no performance compromise, and AI-powered operations that collectively deliver a comprehensive solution for modern data challenges across mission-critical environments.

Syllabus

00:00 Introducing Oracle Autonomous AI Lakehouse & Open Data Vision
03:33 Customer Story: Mars Veterinary Health—Real-Time Enterprise Analytics at Scale
08:16 Why Oracle AI Lakehouse: Performance, Built-In Tools, Expansion Plans
12:28 Data Access Everywhere: Catalog of Catalogs & Multicloud Interoperability
16:04 Demo: Unified Multicloud Data Access, Analysis & AI Workflows
19:02 High Performance Features: Data Lake Accelerator and Exadata Caching
22:02 Unlocking Full Oracle AI/Analytics on Iceberg Tables
26:19 Open, Plug-and-Play AI on Any Data Including Mission-Critical
28:28 Connecting Iceberg, Core Systems, and Operational AI
29:38 The Three Pillars: No Lock-In, No Compromise, AI-Powered Operations
30:47 Oracle AI Data Platform: Open, Multi-Cloud, Unified Stack
31:54 Closing & Vision for Autonomous AI Lakehouse

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Oracle

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