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      1. Data och IT
      2. Hårdvara

      AI-Ready PostgreSQL 18

      Building Intelligent Data Systems with Transactions, Analytics, and Vectors

      AvVibhor Kumar,Marc Linster

      Häftad, Engelska, 2026

      746 kr

      Beställningsvara. Skickas inom 5-8 vardagar. Fri frakt över 249 kr.

      Beskrivning

      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.

      Produktinformation

      • Utgivningsdatum:2026-04-14
      • Mått:191 x 235 x 32 mm
      • Vikt:1 068 g
      • Format:Häftad
      • Språk:Engelska
      • Antal sidor:580
      • Förlag:Packt Publishing Limited
      • Medarbetare:Ed Boyajian
      • ISBN:9781806028474

      Utforska kategorier

      • Hårdvara inom Data och IT
      • Databaser inom Data och IT

      Mer om författaren

      Vibhor Kumar, Global VP at EDB, is a pioneering data tech leader. He manages a global team of engineers, optimizing clients' Postgres databases for peak performance and scalability. He advises Fortune 500 clients, including many Financial Institutes, in innovating and transforming their data platforms. His past experience spans IBM, BMC Software, and CMC Ltd. He holds a BSc in Computer Science from the University of Lucknow and a Master's from the Army Institute of Management. As a certified expert in numerous technologies, he often shares his insights on DevOps, cloud, and database optimization through blogging and speaking at events. Marc Linster holds a Ph.D. (Dr. rer. nat) from the University of Kaiserslautern. Marc is the former CTO and Chief Customer Officer of EnterpriseDB (EDB), one of the major contributors to Postgres. At EDB, Marc focused on helping large-scale users understand the art of the possible with Postgres. Marc has led EDB's product development and services teams for many years, helping customers deploy Postgres at scale and innovate with Postgres. For the last thirteen years, he has been working with Fortune 500 companies to migrate their roadmaps from proprietary software to open-source Postgres. He has given numerous talks at Postgres conferences around the world and discussed Postgres in dozens of webinars.

      Innehållsförteckning

      • Table of ContentsTransactional, Analytical, and AI Business Systems and Their Database RequirementsThe Evolution of PostgresA Sample E-Commerce ApplicationDatabase Requirements for High-Volume Transactional ApplicationsTransactions, ACID Compliance, and Data NormalizationFunctions and Stored ProceduresDesigning for High Transaction Volumes and Writing Efficient Transactional CodeUnderstanding and Monitoring Transactional Application PerformanceDatabase Requirements for Analytical Use CasesThe Analytics Data ModelFeeding the PostgreSQL Data WarehouseTransforming the Data for AnalyticsPostgreSQL's Analytics FunctionsAnalyzing Text Documents in PostgreSQLDatabase Requirements for Artificial Intelligence Use CasesVectors and Indexing for AI with pgvectorMulti-Modal Reasoning: Combining AI Vectors with Standard SQLStep-by-Step Approach to Integrating LLMs with PostgreSQL to Create Complete AI ApplicationsProduction-Ready AI Embedding Pipeline PatternsPostgreSQL and MCP: The Blueprint for a Robust AI AssistantTying It All Together
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