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使用 Oracle AI 数据平台进行 AI 数据工程 [LRN3461].pdf

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1、 Data Engineering for AI using Oracle AI Data PlatformMartin JungDirector of Product Management,OracleSujoy ChowdhuryPrincipal Product Manager,OracleOctober 15,2025Forward-Looking statementsThis presentation is intended to outline our general product direction.It is intended for information purposes

2、 only,and may not be incorporated into any contract.It is not a commitment to deliver any material,code,or functionality,and should not be relied upon in making purchasing decisions.The development,release,timing,and pricing of any features or functionality described for Oracles products may change

3、and remains at the sole discretion of Oracle Corporation.Statements in this presentation relating to Oracles future plans,expectations,beliefs,intentions,and prospects are“forward-looking statements”and are subject to material risks and uncertainties.A detailed discussion of these factors and other

4、risks that affect our business is contained in Oracles Securities and Exchange Commission(SEC)filings,including our most recent reports on Form 10-K and Form 10-Q under the heading“Risk Factors.”These filings are available on the SECs website or on Oracles website at https:/ information in this pres

5、entation is current as of October 2025 and Oracle undertakes no duty to update any statement in light of new information or future events.Some regulatory certifications or registrations to products or services referenced herein are held by Cerner Corporation.Cerner Corporation is a wholly owned subs

6、idiary of Oracle.Cerner Corporation is an ONC-certified health IT developer and a registered medical device manufacturer in the United States and other jurisdictions worldwide.2Copyright 2025,Oracle and/or its affiliatesSpeakersSujoy Chowdhury Principal Product Manager,OracleMartin JungDirector of P

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根据《Data Engineering for AI using Oracle AI Data Platform》的内容,以下是全文关键点的概括: 1. **Oracle AI Data Platform**:这是一个旨在帮助企业构建AI代理和应用程序的平台,通过整合企业数据与顶级AI模型和开发工具,推动创新、效率和竞争优势。 2. **核心功能**: - **AI代理**:构建、集成和管理AI解决方案。 - **数据与AI基础**:统一企业数据,提供高性能引擎。 - **AI驱动开发工具**:支持数据工程师、数据科学家和开发者。 - **Agentic用户体验**:提供直观、可信的体验。 - **开放湖屋架构**:结合Oracle数据库和开源引擎。 3. **Medallion架构**:支持数据集成、处理、丰富和存储,包括与Oracle生态系统(如OCI Object Storage、Oracle Fusion Application)的集成。 4. **Spark Compute Cluster**:提供CPU和GPU支持,支持批处理和流处理,以及Python和SparkSQL编辑器。 5. **Oracle Analytics Cloud**:提供零ETL实时访问数据。 6. **安全与治理**:包括RBAC和审计日志。 7. **资源**:提供AI数据平台工作台、数据架构师、AI开发者、数据工程师和AI科学家等资源。 8. **培训与社区**:提供会议、实验室和社区参与机会。
企业创新利器?" 构建智能未来?" Oracle平台如何加速?"
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