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Category: "PostgreSQL"

Books

  1. Full-Stack Development with Claude Code
    Full-Stack Development with Claude Code
    Building Production-Ready Web Applications with AI-Assisted Engineering
    Steve Publications

    Build real-world web applications faster with Claude Code by your side. This hands-on guide takes you from web development fundamentals to production-ready full-stack engineering with React, Next.js, TypeScript and PostgreSQL. Learn practical AI-assisted workflows while building, testing, securing and deploying applications that are ready for real users.

  2. Moderne Datenzugriffslösungen mit Entity Framework Core 10.0
    Moderne Datenzugriffslösungen mit Entity Framework Core 10.0
    Datenbankprogrammierung / Objekt-Relationales Mapping mit C# in .NET 10.0
    Dr. Holger Schwichtenberg

    Dies ist die top-aktuelle Version 14.9 dieses Fachbuchs vom 16.10.2026 auf dem Stand Entity Framework Core 10.0.13.

  3. High-Performance Java Persistence
    High-Performance Java Persistence
    Get the most out of your persistence layer
    Vlad Mihalcea

    A high-performance data access layer must resonate with the underlying database system. Knowing the inner workings of a relational database and the data access frameworks in use can make the difference between a high-performance enterprise application and one that barely crawls.

  4. Successful Algorithmic Trading
    Successful Algorithmic Trading
    Master the Art of Data-Driven Stock Trading
    Mindest

    Turn data into dollars. Learn how modern traders use algorithms to make smart, emotion-free decisions in the markets

  5. Anatomía de una consulta SQL
    Anatomía de una consulta SQL
    Un Viaje a Través del Procesamiento de Consultas de PostgreSQL
    Jesús Espino

    ¿Qué ocurre realmente cuando PostgreSQL ejecuta tu consulta? Sigue una sentencia SQL a través de cada etapa del pipeline interno de PostgreSQL —desde el texto sin procesar hasta los resultados devueltos— y adquiere ese conocimiento profundo que transformará la forma en que escribes, optimizas y depuras aplicaciones de bases de datos.

  6. Database Engine Level Thinking
    Database Engine Level Thinking
    Building a mental model of PostgreSQL internals — written while learning
    Kareem Ashraf

    Stop only using databases — start understanding them. A living study of PostgreSQL internals for backend engineers: how pages, indexes, and WAL actually work, written clearly while learning, not after mastery.

  7. Lift the Elephant
    Lift the Elephant
    Scaling PostgreSQL Beyond Query Optimization
    Alex Yarotsky

    When your database outgrows simple optimizations, it's time to think bigger. Lift the Elephant goes beyond query tuning to reveal actionable strategies for scaling PostgreSQL, from partitioning to high-availability architectures. Built on lessons from scaling Hubstaff, this is your playbook for navigating the challenges of database growth.

  8. Postgresql PL/PGSQL in-depth
    Postgresql PL/PGSQL in-depth
    Develope databases as a Pro
    Mohammed N. S. Al-Saadi

    If you are a database developer and you put performance as goal to achieve with your DB design...then using PL/PGSQL functions is your excellent tool.

  9. Django 6.1 with Python 3.14
    Django 6.1 with Python 3.14
    From your first project to production: complete web applications with PostgreSQL, semantic search with pgvector, and dynamic interfaces with HTMX
    Franky Bonanno

    Build six complete Django projects, plus a final case study, with the latest Django and Python: PostgreSQL, full-text and semantic search, HTMX, background jobs, multi-tenancy, tests, Docker and deployment. Every result in the book was produced by actually running the code.

  10. Building a Document Management System
    Building a Document Management System
    with Django 6.1, HTMX and pgvector
    Franky Bonanno

    Build a real document management system from scratch to production: OCR, keyword and semantic search, an AI assistant that cites its sources, sharing and approvals, Docker, Nginx and private HTTPS.

  11. PostgreSQL Under Load: Connections, Transactions, MVCC and Concurrency
    PostgreSQL Under Load: Connections, Transactions, MVCC and Concurrency
    A definitive guide to operating PostgreSQL reliably under real-world production workloads.
    Steve Publications

    PostgreSQL Under Load shows what really happens when production gets busy. Learn how connections, transactions, MVCC, locks, WAL and autovacuum interact under pressure, then use that knowledge to diagnose incidents, tune PostgreSQL and build systems that stay reliable when concurrency spikes.

  12. The Planner's Guessing Game Inside PostgreSQL's ANALYZE

    Your query planner doesn't know how many rows will match. It guesses. This book shows you exactly how — and why it's sometimes wrong.

  13. PostgreSQL in Practice
    PostgreSQL in Practice
    SouthStone Publications

    A hands-on guide to running PostgreSQL in production, from schema design and indexing to replication and disaster recovery. Build three real systems: a multi-tenant SaaS app, an analytics warehouse, and a real-time event pipeline. For developers ready to move beyond the basics.

  14. Practical Python Backend Programming, Second Edition
    Practical Python Backend Programming, Second Edition
    Hands-on backend development with FastAPI, MongoDB, Docker, Kubernetes, and message brokers using Python 3.14
    GitforGits | Asian Publishing House

    It's a practical book. We're going to build something real together, a University API, and we're going to grow it chapter by chapter until it looks like a system you'd be proud to deploy. We'll start with a few endpoints, give it databases, make it concurrent, lock it down with authentication, wrap it in containers, and finally split it into cooperating services that talk over the network.

  15. PostgreSQL Problem Solver: Advanced SQL Recipes for Ranking, Retention, Funnels, and Vector Similarity

    The problem-first SQL cookbook for analysts. Find your problem, copy the query, get back to work. Tested on PostgreSQL 17.