Oracle 23AI & ADBS in Action: Exploring New Features with Hands-On Case Studies by Asim Chowdhury
English | January 3, 2026 | ISBN: 8868820676 | 400 pages | MOBI | 1.23 Mb
Unlock the power of Oracle Database 23ai, 26ai and Autonomous Database Serverless (ADB-S) with this comprehensive guide to the latest innovations in performance, security, automation, and AI-driven optimization. As enterprises embrace intelligent and autonomous data platforms, understanding these capabilities is essential for data architects, developers, and DBAs.
Explore cutting-edge features such as vector data types and AI-powered vector search, revolutionizing data retrieval in modern AI applications. Learn how schema privileges and the DB_DEVELOPER_ROLE simplify access control in multi-tenant environments. Dive into advanced auditing, SQL Firewall, and data integrity constraints to strengthen security and compliance.
Discover AI-driven advancements like machine learning-based query execution, customer retention prediction, and AI-powered query tuning. Additional chapters cover innovations in JSON, XML, JSON-Relational Duality Views, new indexing techniques, SQL property graphs, materialized views, partitioning, lock-free transactions, JavaScript stored procedures, blockchain tables, and automated bigfile tablespace shrinking.
What sets this book apart is its practical focus-each chapter includes real-world case studies and executable scripts, enabling professionals to implement these features effectively in enterprise environments. Whether you're optimizing performance or aligning IT with business goals, this guide is your key to building scalable, secure, and AI-powered solutions with Oracle 23AI and ADB-S.
What You Will LearnExplore Oracle 23AI's latest features through real-world use casesImplement AI/ML-driven optimizations for smarter, autonomous database performanceGain hands-on experience with executable scripts and practical coding examplesStrengthen security and compliance using advanced auditing, SQL Firewall, and blockchain tablesMaster high-performance techniques for query tuning, in-memory processing, and scalabilityRevolutionize data access with AI-powered vector search in modern AI workloadsSimplify user access in multi-tenant environments using schema privileges and DB_DEVELOPER_ROLEModel and query complex data using JSON-Relational Duality Views and SQL property graphsWho this Book is For
Database architects, data engineers, Oracle developers, and IT professionals seeking to leverage Oracle 23AI's latest features for real-world applications
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