Marc Linster – författare

Developing intelligent applications that integrate AI, analytics, and transactional capabilities using the latest release of the world's most popular open-source databaseKey FeaturesPractical examples demonstrating how to use PostgreSQL to develop intelligent applicationsBest practices for developers of intelligent data management applicationsIncludes the latest PostgreSQL 18 features for AI, analytics, and transactions.Book DescriptionIn 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.What you will learnHow to leverage PostgreSQL 18 for building intelligent data-driven applications for the modern enterpriseData management principles and best practices for managing transactions, analytics, and AI use casesHow to utilize PostgreSQL capabilities to address architectural challenges and attain optimal performance for each use caseMethods for utilizing the latest PostgreSQL innovation to create integrated data management applicationsGuidelines on when to use PostgreSQL and when to opt for specialized data management solutionsWho this book is forThis book is for backend developers, data engineers, database engineers, and solution architects who want to build modern applications using PostgreSQL as a unified platform for transactions, analytics, and AI. It is intended for readers with a basic understanding of SQL and relational databases who want to learn how to design high-performance transactional systems, implement analytical workloads, and integrate AI capabilities such as vector search and LLM-based applications within Postgres.

Methodological knowledge acquisition and knowledgeengineering have achievedincreasing attention in recentyears due both to active research projects and to successfulpractical applications. Both aspects have over the yearsbeen reflected in the structure of the European KnowledgeAcquisition Workshops (EKAW), where a users' forum hasalways been combined with a scientific workshop. This volume contains the proceedings of EKAW-92. The papersare organized into five thematic sectionson:- Technology transfer- General modelling approaches- Knowledgeformalization and automated methods- Elicitation and diagnosis of human knowledge- Practice and experiences of knowledge acquisition. A total of 65 persons from around the world served as theprogram committee. Their recommendations and sometimes verydetailed comments helped both workshop organizers andindividual authors to achieve the high quality reflected inthis volume.