Cluster analysis is a data analysis technique that groups together data points that are similar to each other within a data set. Here’s how it’s useful, its applications, types, algorithms, tips for assessing clustering and an example of cluster analysis.
Normalization organizes data into separate tables to reduce redundancy and prevent anomalies, improving data integrity. Denormalization combines tables and adds redundancy to speed up queries and simplify data access, often at the cost of consistency.
The Fibonacci sequence is a series of numbers in which each number equals the sum of the two that precede it. For example, 0, 1, 1, 2, 3, 5, 8, 13, 21 and so on.
Data centers are the backbone of today’s digital world, powering everything from streaming services to AI tools.This guide breaks down how they work, the challenges they face and how they’re evolving to support the technology we depend on every day.
Schrödinger’s Cat is a thought experiment illustrating quantum superposition, where a cat is in a sealed box tied to a random quantum event. Until the box is opened and observed, the cat exists in a superposition — simultaneously alive and dead.
Data architecture is a framework of systems, standards and models that help companies manage data from collection to distribution. It enables organizations to leverage their data as a strategic asset and build their data strategy.
Big data has become an essential tool in many industries, ranging from marketing to healthcare. Here are some real-life examples of big data impacting everyday life.
MySQL is a relational database management system commonly used to store and manage the structured data needed to run complex websites. Here’s how it works.
