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Oracle 23AI & ADBS in Action

Asim Chowdhury (Broschiert, Englisch)

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Beschreibung

Unlock the power of Oracle Database 23AI 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 Learn Explore Oracle 23AI's latest features through real-world use cases Implement AI/ML-driven optimizations for smarter, autonomous database performance Gain hands-on experience with executable scripts and practical coding examples Strengthen security and compliance using advanced auditing, SQL Firewall, and blockchain tables Master high-performance techniques for query tuning, in-memory processing, and scalability Revolutionize data access with AI-powered vector search in modern AI workloads Simplify user access in multi-tenant environments using schema privileges and DB_DEVELOPER_ROLE Model and query complex data using JSON-Relational Duality Views and SQL property graphs Who 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 Weniger zeigen

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Produktinformationen

Technische Daten

Erscheinungsdatum

03.01.2026

Sprache

Englisch

EAN

9798868820670

Herausgeber

APRESS

Sonderedition

Nein

Autor

Asim Chowdhury

Seitenanzahl

372

Einbandart

Broschiert

Buch Untertitel

Exploring New Features with Hands-On Case Studies

Schlagwörter

Oracle 23AI, AI-driven database optimization, Oracle database automation, SQL performance tuning, SQL Firewall security, Blockchain tables in Oracle, Oracle 23AI performance tuning, Query optimization techniques, In-memory database performance, AI/ML in databases, Database scalability improvements, Oracle security and compliance, Oracle ADB-S, Autonomous databases, AI-powered vector search, DB_DEVELOPER_ROLE Oracle, JSON and XML enhancements, Schema privileges in Oracle, Data integrity constraints, SQL property graphs

Thema-Inhalt

UN - Datenbanken UYQ - Künstliche Intelligenz UTC - Cloud Computing UMZ - Software Engineering UR - Computersicherheit

Höhe

254 mm

Breite

17.8 cm

Hersteller: Apress, Europaplatz 3, Heidelberg, Deutschland, 69115, ProductSafety@springernature.com, Springer Nature Customer Service Center GmbH

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