A methodology for building software-as-a-service apps that emphasizes best practices for development, deployment, and scalability.
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3-Tiered Architecture is a software design pattern that separates an application into three layers: presentation, logic, and data.
Characteristics of big data defined as Volume, Velocity, Variety, Veracity, and Value.
A Lean methodology concept identifying seven types of waste in processes to improve efficiency.
A type of testing conducted to determine if the requirements of a specification are met, often the final step before delivery to the customer.
A decision-making strategy where individuals are prompted to make a choice rather than defaulting to a pre-set option.
AI systems that can dynamically adjust their behavior based on new data or changes in the environment.
A cognitive architecture model that explains how humans can learn and adapt to new tasks.
User interfaces that change in response to user behavior or preferences to improve usability and efficiency.
A methodology that promotes iterative development, collaboration, and flexibility to adapt to changing requirements.
A set of practices and principles that guide agile methodologies, such as Scrum and Kanban, to improve project management and product development.
A declaration of the values and principles essential for agile software development.
The core principles that underpin agile methodologies, focusing on collaboration, flexibility, and customer satisfaction.
The process of transitioning an organization to agile methodologies, including changes in culture, processes, and practices.
The core values outlined in the Agile Manifesto, including individuals and interactions, working software, customer collaboration, and responding to change.
An approach that applies Agile principles to IT operations, emphasizing iterative development, collaboration, and continuous improvement.
The process of training an AI model on a large dataset before fine-tuning it for a specific task.
A parameter that controls the randomness of AI-generated text, affecting creativity and coherence.
The degree to which the operations and decisions of an AI system are understandable and explainable to users.
AI as a Service (AIaaS) is a service model where AI tools and algorithms are provided over the internet by a third-party provider.
Artificial Intelligence of Things (AIoT) is the integration of AI with the Internet of Things (IoT) to create smart systems that can learn and adapt.
A technique for creating interactive web applications by exchanging data with the server in the background without reloading the entire page.
The process of defining and creating algorithms to solve problems and perform tasks efficiently.
Application Lifecycle Management (ALM) is the process of managing an application's development, maintenance, and eventual retirement throughout its lifecycle.
A preliminary testing phase conducted by internal staff to identify bugs before releasing the product to external testers or customers.
The process of identifying unusual patterns or outliers in data that do not conform to expected behavior.
A common solution to a recurring problem that is ineffective and counterproductive, often resulting in negative consequences.
Application Programming Interface (API) is a set of tools and protocols that allow different software applications to communicate and interact with each other.
The high-level structure of a software application, defining its components and their interactions.
Application Release Automation (ARA) is the process of automating the release of applications, ensuring consistency and reducing errors.
The study of architectural concepts, including the principles and methodologies used in the design and construction of buildings and structures.
Accessible Rich Internet Applications (ARIA) is a set of attributes that enhance the accessibility of web content for people with disabilities.
Specific attributes used to enhance the accessibility of web content and applications by providing additional information to assistive technologies.
ARIA attributes that notify assistive technologies about updates to parts of the web page that can change dynamically.
ARIA attributes that define additional characteristics of elements, such as roles and relationships.
Specific roles assigned to HTML elements to define their purpose and behavior in an accessible manner.
ARIA attributes that describe the current state of an element, such as whether it is selected or expanded.
Agile Release Train (ART) is a long-lived team of Agile teams that, along with other stakeholders, incrementally develops, delivers, and operates one or more solutions in a value stream.
Adaptive Software Development (ASD) is a software development methodology that focuses on continuous adaptation to changing requirements and environments.
Application Support Engineer (ASE) is a professional responsible for maintaining and supporting software applications, ensuring their availability and performance.
Artificial Superintelligence (ASI) is a hypothetical AI that surpasses human intelligence and capability in all areas.
Hardware and software designed to assist people with disabilities in using computers and digital content.
A component in neural networks that allows the model to focus on specific parts of the input, improving performance.
A design pattern that combines human and machine intelligence to enhance decision-making and problem-solving.
The use of software tools to run tests on code automatically, ensuring functionality and identifying defects without manual intervention.
Amazon Web Services (AWS) is a comprehensive cloud computing platform provided by Amazon that offers a wide range of services including computing power, storage, and databases.
An inference method used in AI and expert systems where reasoning starts from the goal and works backward to determine the necessary conditions.
Behavior-Driven Development (BDD) is a software development approach where applications are specified and designed by describing their behavior.
The process of comparing design metrics to historical performance, competitive standards, or industry best practices to identify areas for improvement.
The practice of comparing performance metrics to industry bests or best practices from other companies.
A testing phase where a product is released to a limited audience outside the development team to identify issues and gather feedback before the final release.
A concept in communication and interaction where information or influence flows in two directions.
Extremely large data sets that can be analyzed computationally to reveal patterns, trends, and associations.
The process of examining large and varied data sets to uncover hidden patterns, correlations, and insights.
A professional who designs, builds, and maintains systems for processing large-scale data sets.
The use of biological data (e.g., fingerprints, facial recognition) for user authentication and interaction with digital systems.
A testing method where the internal structure of the system is not known to the tester, focusing solely on input and output.
A decentralized digital ledger that records transactions across many computers in a way that ensures the security and transparency of data.
A deployment strategy that reduces downtime and risk by running two identical production environments, switching traffic between them.
An approach to information architecture that starts with the details and builds up to a comprehensive structure.
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