PostgreSQL 18 for Developers
portes grátis
PostgreSQL 18 for Developers
Crafting flexible and intelligent data-driven solutions for today's enterprise
Kumar, Vibhor; Linster, Marc
Packt Publishing Limited
04/2026
Mole
Inglês
9781806028474
Pré-lançamento - envio 15 a 20 dias após a sua edição
Descrição não disponível.
Table of Contents
Transactional, Analytical and AI business systems and their database requirements
The evolution of Postgres to become the number one database for modern applications
A sample eCommerce application
Database requirements for high volume transactional applications
Transactions, ACID compliance, and data normalization
Functions and Stored Procedures
Designing for high transaction volumes and writing efficient transactional code
Doing more with Postgres for transactional applications
Database requirements for analytical use cases
Data modeling for analytics
Analytics functions in Postgres
Views, Materialized Views, Partitions and Indexes
Full text search
Doing more with Postgres for analytical applications
Database requirements for artificial intelligence use cases
Vectors and indexing for AI with pgVector
Combining vectors and standard SQL
Step-by-step approach to integrating LLMs with Postgres to create complete AI applications
Doing more with Postgres for AI
Tying it all together
Transactional, Analytical and AI business systems and their database requirements
The evolution of Postgres to become the number one database for modern applications
A sample eCommerce application
Database requirements for high volume transactional applications
Transactions, ACID compliance, and data normalization
Functions and Stored Procedures
Designing for high transaction volumes and writing efficient transactional code
Doing more with Postgres for transactional applications
Database requirements for analytical use cases
Data modeling for analytics
Analytics functions in Postgres
Views, Materialized Views, Partitions and Indexes
Full text search
Doing more with Postgres for analytical applications
Database requirements for artificial intelligence use cases
Vectors and indexing for AI with pgVector
Combining vectors and standard SQL
Step-by-step approach to integrating LLMs with Postgres to create complete AI applications
Doing more with Postgres for AI
Tying it all together
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Table of Contents
Transactional, Analytical and AI business systems and their database requirements
The evolution of Postgres to become the number one database for modern applications
A sample eCommerce application
Database requirements for high volume transactional applications
Transactions, ACID compliance, and data normalization
Functions and Stored Procedures
Designing for high transaction volumes and writing efficient transactional code
Doing more with Postgres for transactional applications
Database requirements for analytical use cases
Data modeling for analytics
Analytics functions in Postgres
Views, Materialized Views, Partitions and Indexes
Full text search
Doing more with Postgres for analytical applications
Database requirements for artificial intelligence use cases
Vectors and indexing for AI with pgVector
Combining vectors and standard SQL
Step-by-step approach to integrating LLMs with Postgres to create complete AI applications
Doing more with Postgres for AI
Tying it all together
Transactional, Analytical and AI business systems and their database requirements
The evolution of Postgres to become the number one database for modern applications
A sample eCommerce application
Database requirements for high volume transactional applications
Transactions, ACID compliance, and data normalization
Functions and Stored Procedures
Designing for high transaction volumes and writing efficient transactional code
Doing more with Postgres for transactional applications
Database requirements for analytical use cases
Data modeling for analytics
Analytics functions in Postgres
Views, Materialized Views, Partitions and Indexes
Full text search
Doing more with Postgres for analytical applications
Database requirements for artificial intelligence use cases
Vectors and indexing for AI with pgVector
Combining vectors and standard SQL
Step-by-step approach to integrating LLMs with Postgres to create complete AI applications
Doing more with Postgres for AI
Tying it all together
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
