Developing intelligent applications that integrate AI, analytics, and transactional capabilities using the latest release of the world's most popular open-source database Key Features Practical examples demonstrating how to use Postgres to develop intelligent applications Best practices for developers of intelligent data management applications Includes the latest PostgreSQL 18 features for AI, analytics, and transactions ures 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 learn How to leverage PostgreSQL 18 for building intelligent data-driven applications for the modern enterprise Data management principles and best practices for managing transactions, analytics, and AI use cases How to utilize Postgres capabilities to address architectural challenges and attain optimal performance for each use case Methods for utilizing the latest Postgres innovation to create integrated data management applications Guidelines on when to use Postgres and when to opt for specialized data management solutions Who this book is forThis book is intended for developers creating intelligent, data-driven applications for the modern enterprise. It features hands-on examples that demonstrate how to use PostgreSQL as the database for business applications that integrate transactions, analytics, and AI. We explore the fundamental architectural principles of data management and detail how developers utilize PostgreSQL 18's latest capabilities to build AI-enabled applications. The book assumes a working knowledge of SQL and does not address the needs of data analysts or those looking to master SQL.
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Table of Contents
  1. Transactional, Analytical and AI business systems and their database requirements
  2. The evolution of Postgres to become the number one database for modern applications
  3. A sample eCommerce application
  4. Database requirements for high volume transactional applications
  5. Transactions, ACID compliance, and data normalization
  6. Functions and Stored Procedures
  7. Designing for high transaction volumes and writing efficient transactional code
  8. Doing more with Postgres for transactional applications
  9. Database requirements for analytical use cases
  10. Data modeling for analytics
  11. Analytics functions in Postgres
  12. Views, Materialized Views, Partitions and Indexes
  13. Full text search
  14. Doing more with Postgres for analytical applications
  15. Database requirements for artificial intelligence use cases
  16. Vectors and indexing for AI with pgVector
  17. Combining vectors and standard SQL
  18. Step-by-step approach to integrating LLMs with Postgres to create complete AI applications
  19. Doing more with Postgres for AI
  20. Tying it all together
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Produktdetaljer

ISBN
9781806028474
Publisert
2026-04-14
Utgiver
Packt Publishing Limited
Høyde
235 mm
Bredde
191 mm
Aldersnivå
01, P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet

Biografisk notat

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. 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.