DNS (Domain Name System)
The system that translates human-readable domain names (e.g., www.example.com) into IP addresses that computers use to locate each other. DNS is fundamental to internet functionality.
The system that translates human-readable domain names (e.g., www.example.com) into IP addresses that computers use to locate each other. DNS is fundamental to internet functionality.
A technology that enables decentralized, tamper-resistant data storage across a computer network. Blockchain is a well-known example of DLT.
A strategy for recovering from disruptions, such as natural disasters or cyberattacks, to ensure business continuity. It includes procedures for data backup, system recovery, and communications.
A collaborative approach that combines software development (Dev) and IT operations (Ops) to enhance efficiency. DevOps practices streamline development cycles and automate deployment processes.
AI-generated synthetic media that manipulates video, audio, or images. Deepfakes can convincingly alter content and are often used for misinformation or entertainment.
A subset of Machine Learning that uses neural networks to model complex data patterns. Deep learning powers advances such as image recognition, natural language processing, and autonomous vehicles.
A financial ecosystem built on blockchain technology that provides financial services without traditional intermediaries. DeFi facilitates the lending, borrowing and trading of assets via smart contracts.
The process of identifying and correcting errors or bugs in software code. Debugging tools help developers find the root cause of problems and ensure code accuracy.
An agile, automated approach to data management that fosters collaboration between data engineers and data scientists. It aims to enhance data quality, speed, and reliability.
An organized collection of data, typically stored electronically and accessed through a database management system (DBMS). It allows for the efficient storage, retrieval, and management of data.
A centralized database designed to store structured data for analysis and reporting. It supports business intelligence by consolidating data from multiple sources.
The process of analyzing large amounts of data to uncover patterns, correlations, or valuable insights. Commonly used in industries such as marketing, finance, and healthcare.