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  • Book Overview & Buying AI-Ready PostgreSQL 18
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AI-Ready PostgreSQL 18

AI-Ready PostgreSQL 18

By : Vibhor Kumar, Marc Linster
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AI-Ready PostgreSQL 18

AI-Ready PostgreSQL 18

By: Vibhor Kumar, Marc Linster

Overview of this book

In today’s data-first world, businesses need applications that blend transactions, analytics, and AI to power real-time insights at scale. Mastering PostgreSQL 18 for AI-Powered Enterprise Apps is your essential guide to building intelligent, high-performance systems with the latest features of PostgreSQL 18. Through hands-on examples and expert guidance, you’ll learn to design architectures that unite OLTP and OLAP, embed AI directly into apps, and optimize for speed, scalability, and reliability. Discover how to apply cutting-edge PostgreSQL tools for real-time decisions, predictive analytics, and automation. Go beyond basics with advanced strategies trusted by industry leaders. Whether you’re building data-rich applications, internal analytics platforms, or AI-driven services, this book equips you with the patterns and insights to deliver enterprise-grade innovation. Ideal for developers, architects, and tech leads driving digital transformation, this book empowers you to lead the future of intelligent applications. Harness the power of PostgreSQL 18—and unlock the full potential of your data.
Table of Contents (28 chapters)
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1
Part 1: Introducing PostgreSQL and Setting the Stage
5
Part 2: Creating Transactional Applications
11
Part 3: Creating Analytical Applications
18
Part 4: Using PostgreSQL as an AI Platform
27
Index

Security

The previous section has demonstrated how microservices, built on databases, schemas, and API definitions, offer a effective way to scale and support agile development. This section introduces a systematic framework for database security, known as Authentication, Authorization, and Audit (AAA). A systematic approach is critical, as microservices distributed over the network can offer more potential points of attack. There are more connection points, APIs, and moving parts in a microservices architecture compared to a monolith. A systematic and scalable approach is key.While there is a bigger security context (physical access to the server, network access to the server, encryption of data in transport, and encryption at rest) that has to be addressed in a production deployment, this book will focus on the PostgreSQL database itself.AAA provides a step-by-step methodology that leverages PostgreSQL capabilities and takes advantage of the data domain definitions in the microservices...

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AI-Ready PostgreSQL 18
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