Skip to main content
← All Tags

Database

33 articles in this category (Page 2 of 2)

AI NewsDatabaseOracle

The dml_lock_timeout Parameter in the DBMS_REDEFINITION Package

Oracle's dml_lock_timeout parameter prevents indefinite waits during table redefinition with a 10-second timeout example.

Read more
AI NewsDockerDjango

Connecting Cassandra with Django: The Complete Guide

Docker streamlines Cassandra-Django integration, reducing environment setup complexity for high-scale applications.

Read more
AI NewsDatabaseAI Development

Finally, an AI Database That Actually Makes Sense

Tech With Tim highlights Tiger Data, an AI database streamlining agent development with live demos and setup guides.

Read more
AI Newsdataengineeringdatabase

Data Governance Made Simple: How to Protect and Control Your Data Assets

Data governance transforms disorganized data into a strategic asset, reducing compliance risks and enabling innovation.

Read more
AI NewsDatabaseDevOps

Top 5 PostgreSQL Backup Tools in 2025

PostgreSQL's 2025 dominance drives demand for advanced backup tools, with 8–16x compression in Postgresus.

Read more
AI NewsGoREST

GoREST v0.1.0: Automating REST API Generation from Relational Databases

GoREST transforms relational databases into production-grade REST APIs with auto-discovery, DTOs, JWT auth, and hooks. Learn how it streamlines API development in Go.

Read more
AI Newsdockerpostgres

Effortless PostgreSQL Environment in Docker For Windows

A comprehensive guide to setting up PostgreSQL using Docker on Windows, simplifying database management with Docker Compose and terminal commands.

Read more
AI NewsXMLDatabase

Introduction to BaseX XML Database and Its Features

A comprehensive guide to BaseX, a lightweight XML database for storing, querying, and manipulating XML data using XQuery and XPath, with CLI and HTTP interfaces.

Read more
AI NewsRetrieval-Augmented GenerationSpring

Building a RAG Application with Spring Boot, Spring AI, MongoDB Atlas Vector Search, and OpenAI

This article details the implementation of a Retrieval-Augmented Generation (RAG) application using Spring Boot, Spring AI, MongoDB Atlas Vector Search, and OpenAI. It covers the architecture, implementation details, and potential applications of this technology, highlighting its versatility and adaptability across various industries.

Read more