Learn how business logic serves as the framework of rules and algorithms, enabling smooth data flow between databases and ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data ...

Understand Local Response Normalization (LRN) in deep learning: what it is, why it was introduced, and how it works in ...

This repository contains Group 7's AoL project for COMP6799001 – Database Technology course. The project focuses on applying database normalization (UNF → 1NF → 2NF → 3NF) to the Food Delivery Time ...

The graph database market, driven by AI, is growing at a rate of almost 25% annually. Graph databases support knowledge graphs, providing visual guidance for AI development. There are multiple ...

Let's be honest, we're all drama queens sometimes. Whether you're texting your bestie you're “literally dying” over the latest celebrity gossip or declaring on social media that Monday mornings are ...

In today’s data-driven world, databases form the backbone of modern applications—from mobile apps to enterprise systems. Understanding the different types of databases and their applications is ...

Abstract: Database normalization is a ubiquitous theoretical relational database analysis process. It comprises several levels of normal forms and encourage database designers not to split database ...

Forbes contributors publish independent expert analyses and insights. I write about the economics of AI. When Snowflake announced its $250 million acquisition of Crunchy Data two weeks ago at its ...

A customer relationship management (CRM) database is a resource that contains all customer data that all departments within an organization can access. These data include customer information, sales ...

AI training and inference are all about running data through models — typically to make some kind of decision. But the paths that the calculations take aren’t always straightforward, and as a model ...