In Data Engineer’s Guide to Oracle Machine Learning and Gen AI Services, you’ll learn how to tackle the challenges of building scalable, high-performance AI workflows in modern enterprises. Many organizations struggle to turn raw data into actionable insights while maintaining security, compliance, and operational efficiency. This book provides practical, end-to-end guidance for data engineers and architects to design, secure, implement, and optimize ML and GenAI solutions across Oracle Cloud, Oracle Database, and MySQL HeatWave.

Written by multiple Oracle experts with deep experience in Oracle technologies and enterprise data platforms, this book walks you through real-world examples and hands-on workflows—from data preparation and in-database ML to deploying GenAI-powered applications and intelligent agents. You’ll gain skills in building pipelines, managing models, leveraging vector search for advanced AI use cases, and integrating AI into business applications with APEX and Oracle Digital Assistant. Advanced topics include scalable model deployment, serverless inference, monitoring, and MLOps best practices.

By the end, you’ll be equipped to solve complex data challenges, accelerate AI adoption, and deliver measurable business impact through intelligent, production-ready solutions.

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Spis treści

Data Engineer's Guide to Oracle Machine Learning and GenAI Services. Modern data engineering practices for creating efficient, AI-driven applications at enterprise scale eBook -- spis treści

• 1. Overview of Oracle's AI and ML Ecosystem
• 2. AI Infrastructure on OCI
• 3. Tools and Frameworks for Model Development on OCI
• 4. Model Deployment, Optimization, and Specialized Services on OCI
• 5. Data Preparation and In-Database Model Training
• 6. Model Deployment and In-Database Management
• 7. Advanced Techniques for Optimizing ML on Oracle Database
• 8. Data Preparation and Training on MySQL HeatWave
• 9. Model Deployment and Optimization on MySQL HeatWave
• 10. An Introduction to GenAI Services
• 11. Utilize Oracle AI Services for Machine Learning
• 12. Leveraging Oracle Data Science Service for Machine Learning
• 13. Building Intelligent Applications with Oracle Digital Assistant
• 14. Machine Learning Security, Governance, and Best Practices