• Advanced Encryption Standard (AES): A symmetric key encryption standard widely used to secure data.
  • Agile development: A methodology for software development that emphasizes flexibility and adaptability, allowing teams to respond to changes and customer feedback quickly.
  • Algorithm: A set of steps or instructions used to solve a problem or accomplish a task.
  • Application Programming Interface (API): A set of protocols, routines, and tools for building software and applications.
  • Artificial Intelligence: The simulation of human intelligence in machines that are programmed to think and learn like humans.
  • Artificial Neural Network (ANN): A subset of machine learning inspired by the human brain’s structure and function, used to process and analyze large sets of data.
  • Asynchronous programming: A method of programming in which multiple tasks can be executed independently without blocking the execution of other tasks.
  • Augmented Reality (AR): A technology that superimposes digital content, such as images, text, or sound, on the user’s view of the real world.
  • Autonomic computing: A form of computing that uses self-managing systems that can automatically configure, optimize, and heal themselves.
  • Backup and disaster recovery (BDR): The process of creating and maintaining backups of data and systems, and the ability to restore them in the event of a disaster.
  • Backup as a Service (BaaS): A cloud-based service that allows customers to store and manage their data and systems backups.
  • Backup to Disk (B2D): Creating backups by writing data to disk storage devices, such as hard drives or SSDs.
  • Backup: The process of creating a copy of data for safekeeping in case of data loss.
  • Big data: A term used to describe large and complex data sets that are difficult to process and analyze using traditional methods.
  • Binary tree: A tree data structure in which each node has at most two children, which are referred to as the left child and the right child.
  • Binary: A number system that uses only two digits, 0 and 1, to represent all data in a computer.
  • Blockchain: A decentralized and distributed digital ledger that is used to record transactions across a network of computers.
  • Byte: A unit of measurement for digital data, typically consisting of 8 bits.
  • Cache: A small and fast memory that stores frequently used data for quick access by the CPU.
  • Cloud automation: The process of automating repetitive tasks, such as provisioning, scaling, and monitoring, in a cloud computing environment.
  • Cloud bursting: The process of dynamically scaling resources, such as computing power or storage, between a private cloud and a public cloud, depending on the demand.
  • Cloud computing: A model of delivering computing resources and services over the internet. It allows users to access data, applications, and storage remotely.
  • Cloud hosting: A service that allows users to host websites and applications on remote servers accessed over the internet.
  • Cloud migration: The process of moving data, applications, and other business elements from on-premises systems to a cloud computing environment.
  • Cloud security: The practice of protecting data and systems that are hosted on a cloud computing platform.
  • Code review: The process of examining and evaluating source code by a team of developers to ensure quality and consistency.
  • Cognitive computing: A form of artificial intelligence that simulates human thought processes, such as learning, reasoning and self-correction.
  • Command Line Interface (CLI): A user interface that allows users to interact with a computer by typing commands rather than using a graphical interface.
  • Compiler: A program that converts source code written in a high-level programming language into machine code that can be executed by a computer.
  • Compression: The process of reducing the size of a file or data stream in order to save storage space or improve transmission speed.
  • Containerization: A method of packaging software in a way that allows it to be easily deployed and run on different environments.
  • CPU (Central Processing Unit): The “brain” of a computer, responsible for executing instructions and performing calculations.
  • Cyber-attack: A malicious attempt to disrupt or gain unauthorized access to a computer system or network.
  • Cybersecurity: The practice of protecting computer systems, networks, and data from unauthorized access, use, disclosure, disruption, modification, or destruction.
  • Data analytics: The process of examining, cleaning, transforming, and modeling data to extract useful information and insights.
  • Data catalog: A centralized repository that contains metadata, data dictionaries, and other information about data sources, making it easier to discover and understand data.
  • Data center: A facility used to house computer systems and associated components, such as telecommunications and storage systems.
  • Data deduplication: The process of removing duplicate copies of data, reducing the storage space required.
  • Data governance: The process of managing data throughout its lifecycle, including data quality, security, and compliance.
  • Data lineage: The process of tracking data movement through different systems, including its creation, usage, and any transformations that have been applied to it.
  • Data mining: The process of discovering patterns and knowledge from large sets of data.
  • Data warehousing: The collection, storing, and managing of large data sets from various sources for reporting and analysis.
  • Database: A collection of data that is organized in a specific way and can be accessed, managed, and updated by a computer system.
  • DataCenter Infrastructure Management (DCIM): The process of monitoring, managing, and optimizing a data center’s physical and logical components.
  • Debugging: The process of identifying and correcting errors in software.
  • Deep learning: A subset of machine learning that uses neural networks with multiple layers to analyze and interpret complex data.
  • Device management: The process of managing and maintaining devices, such as laptops, smartphones, and IoT devices, in an organization.
  • Distributed computing: A method of processing data and executing tasks across a network of computers.
  • Domain Name System (DNS): A system that translates domain names into IP addresses, allowing users to access websites and other resources by name rather than by IP address.
  • Edge computing: A distributed computing paradigm that brings computation and data storage closer to the devices and users that generate and consume the data.
  • Edge computing: A method of processing data and executing tasks at or near the data source, rather than in a centralized data center.
  • Elastic computing: On-demand allocating and managing computing resources, such as servers and storage.
  • Embedded systems: Computer systems that are integrated into other devices and products, such as cars, appliances, and medical equipment.
  • Encryption: The process of converting plaintext into a code to protect data from unauthorized access.
  • Federated identity management: A method of managing digital identities across multiple systems, applications, and organizations.
  • Federated learning: A form of machine learning that allows multiple parties to train models on local data while sharing the knowledge gained across the network.
  • File system: A way of organizing and storing files on a computer or other digital device.
  • Firewall: A security system that monitors and controls incoming and outgoing network traffic.
  • Firmware update: A software update applied to firmware, the software that is permanently or semi-permanently stored on a device.
  • Firmware: Software that is permanently or semi-permanently stored on a device, such as the BIOS of a computer.
  • Functional programming: A programming paradigm that emphasizes using mathematical functions to perform computation and avoid changing state and mutable data.
  • Geolocation: The process of determining a device’s or user’s physical location based on IP address, GPS coordinates, or Wi-Fi data.
  • GUI (Graphical User Interface): A user interface that utilizes graphical elements, such as icons and windows, to interact with the computer.
  • Hack: Unauthorized access to a computer system or network.
  • Hardware: Physical components of a computer system, such as the CPU, memory, and storage.
  • Hash function: A mathematical function that takes an input and produces a fixed-size output, called a hash or digest.
  • Hash table: A data structure that stores data in an array-like format, using a function called a hash function to calculate the position at which each piece of data should be stored.
  • Human-computer interaction (HCI): The study of how people interact with computers and how to design interfaces that are easy and efficient to use.
  • Human-In-The-Loop (HITL): A form of artificial intelligence that allows humans to participate in the decision-making process.
  • Hyperconverged infrastructure: A type of infrastructure that combines computing, storage, and networking resources in a single platform.
  • HyperText Transfer Protocol (HTTP): A protocol used for transferring data over the internet.
  • Infrastructure as a service (IaaS): A service that provides customers with access to computing resources, such as servers and storage, over the internet.
  • In-memory computing: A method of processing data that stores and processes data in memory, rather than on disk, to improve performance.
  • Input/Output (I/O): The process of getting data into and out of a computer system.
  • Internet of Medical Things (IoMT): The network of medical devices and applications connected to the internet, allowing for the collection and exchange of patient data.
  • Internet of Things (IoT): The network of physical devices, vehicles, buildings, and other objects embedded with electronics, software, sensors, and connectivity which enables these objects to connect and exchange data.
  • Internet: A global network of interconnected computers that allows for the exchange of information and communication.
  • IP address (Internet Protocol address): A unique numerical label assigned to each device connected to a computer network.
  • Job queue: A software that stores and manages a queue of jobs to be executed, such as batch processing or background tasks.
  • Job scheduler: A software that automates the scheduling and execution of jobs, such as backups or data processing tasks.
  • Key-value store: A NoSQL database that stores data in a set of key-value pairs, allowing for fast and efficient data retrieval.
  • Knowledge graph: A graph-based data model that represents entities and the relationships between them, making it easier to discover and understand data.
  • Knowledge representation: The process of representing knowledge in a form that a computer can process.
  • Linked list: A data structure in which each element contains a link to the next element.
  • Load balancing: The process of distributing workloads across multiple servers to ensure that no single server is overwhelmed.
  • Logic gate: A fundamental building block of digital electronics that performs a logical operation on one or more inputs to produce an output.
  • Logic programming: A programming paradigm that uses formal logic to express the relationships between data and the rules that operate on them.
  • Machine learning: A subset of artificial intelligence that involves the development of algorithms and models that enable computers to learn and improve from data without being explicitly programmed.
  • Machine vision: A form of artificial intelligence that enables machines to interpret and understand visual data, such as images and videos.
  • Malware: Short for malicious software, malware is any software designed to harm or exploit a computer or network.
  • Memory: A type of storage a computer uses to temporarily hold data and instructions for the CPU to access.
  • Metadata: Data that describes other data, such as file name, size, and creation date.
  • Microservices: A software architecture approach in which an extensive application is built as a collection of small, independent services that communicate with each other over a network.
  • Mobile Device Management (MDM): The process of managing and securing mobile devices, such as smartphones and tablets, in a corporate environment.
  • Modem: A device that modulates and demodulates digital and analog signals for data transfer over a telephone or cable line.
  • Multi-cloud: The use of multiple cloud computing services from different providers, such as Amazon Web Services and Microsoft Azure for different applications or workloads.
  • Natural Language Generation (NLG): The process of automatically creating written or spoken language from data.
  • Natural Language Processing (NLP): A branch of artificial intelligence that deals with the interaction between computers and human languages.
  • Network: A group of interconnected devices and computers that can communicate and share resources.
  • Non-Volatile Memory (NVM): A type of storage that retains data even when power is lost.
  • Object storage: A method of storing unstructured data, such as photos and videos, in a flat address space rather than in a hierarchical file system.
  • Object-Oriented Programming (OOP): A programming paradigm organizing code into objects with properties and methods that can be inherited and reused.
  • Online Transaction Processing (OLTP): The process of quickly processing many transactions, such as financial transactions.
  • Operating system kernel: The core component of an operating system that manages resources such as memory and processors.
  • Operating system: The software that manages and controls a computer’s hardware and software resources.
  • Optical Character Recognition (OCR): A technology that uses image processing to recognize and extract text from images.
  • Packet sniffing: The process of intercepting and analyzing network traffic to troubleshoot and monitor network activity.
  • Performance tuning: The process of optimizing the performance of a computer system or application.
  • Platform as a Service (PaaS): This provides customers access to a platform for developing, testing, and deploying software applications.
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  • Predictive modeling: The process of using statistical and machine learning techniques to analyze data and make predictions about future events or outcomes.
  • Programming language: A language that is used to write instructions for computers. Examples include Python, Java, and C++.
  • Proximity marketing: The use of technology, such as Bluetooth or NFC, to deliver personalized content and offers to users near a specific location or device.
  • Public Key Infrastructure (PKI): A system for managing digital certificates and public-private key pairs used for secure communication.
  • Quantum computing: A form of computing that uses the principles of quantum mechanics to perform operations on data.
  • Quantum computing: A type of computing that uses the principles of quantum mechanics to perform operations on data.
  • Quantum cryptography: The use of quantum mechanics to secure communication.
  • Quantum Key Distribution (QKD): A method of securely distributing cryptographic keys using the principles of quantum mechanics.
  • Real-time analytics: The process of analyzing data in real-time as it is generated, rather than batch processing it at a later time.
  • Real-time data integration: The process of integrating and processing data in real-time as it is generated, rather than batch processing it later.
  • Real-time systems: Computer systems designed to respond to events and changes within a specific time frame.
  • Recurrent Neural Network (RNN): A neural network that processes data sequences, such as time series or natural language.
  • Remote management: The process of managing and maintaining devices, such as servers or routers, from a remote location.
  • Responsive design: A method of designing web pages and applications that automatically adjust to the size and resolution of the device being used to view them.
  • Robotic Process Automation (RPA): The use of software robots to automate repetitive, rule-based tasks.
  • Robotics: The engineering and computer science branch specializing in robot design, construction, and operation.
  • Scaling: The process of increasing or decreasing the resources and capacity of a computer system or network to meet changing demand.
  • Scripting: The use of a script or program to automate tasks or manipulate data.
  • Search Engine Marketing (SEM): Buying ads on search engines to increase visibility and drive traffic to a website.
  • Search engine optimization (SEO): The process of improving the visibility and ranking of a website or web page in search engine results.
  • Serverless computing: A method of executing code or running applications without the need to provision or manage servers.
  • Software as a Service (SaaS): A software delivery model in which a software application is hosted by a third-party provider and made available to customers over the internet.
  • Software Defined Networking (SDN): A method of managing and controlling network resources, such as switches and routers, using software rather than hardware.
  • Software Development Kit (SDK): A set of tools and resources developers use to create software applications.
  • Software: Programs and applications that run on a computer.
  • Storage: A term used to describe the devices or media used to store digital data, such as hard drives, flash drives, or cloud storage.
  • Streaming analytics: The process of analyzing and processing data in real-time as it is generated, rather than batch processing it at a later time.
  • Time series database: A database optimized for storing and querying time-stamped data, such as sensor data or financial transactions.
  • Trojan: A type of malware that disguises itself as a legitimate program but secretly performs malicious actions.
  • Unsupervised learning: A machine learning method in which the algorithm is not given any labeled data and must discover patterns on its own.
  • URL (Uniform Resource Locator): The address of a web page or other resource on the internet.
  • User eXperience (UX): The overall experience of a person using a product or service, including design, usability, and satisfaction.
  • Virtual Desktop Infrastructure (VDI): A virtual desktop delivery method allows users to access their applications and data from any device.
  • Virtual Private Cloud (VPC): A method of creating a private cloud environment within a public cloud, such as Amazon Web Services or Microsoft Azure.
  • Virtual Reality (VR): A technology that uses computer-generated simulations to create immersive, interactive environments.
  • Virtualization: Creating a virtual version of a physical device or resource, such as a server or operating system.
  • Virus: A malware designed to replicate itself and spread to other computers.
  • Web browser: A software application used to access and view web pages on the internet.
  • Web scraping: The process of automatically extracting data from websites using a script or program.
  • Zero-knowledge proof: A method of verifying information without revealing the underlying data.

These are just a few examples, and many more terms and concepts in the field of computer science and technology are being developed and used in various domains and application areas that are computer-related terms and definitions; there are many other terms that are used in specific fields and domains like the internet, gaming, animation, programming, etc.

Cloud computing, Big data, Machine learning, Artificial Intelligence, Network, Cybersecurity, etc., are some terms related to computers and their field.