Glossary - Glosarix

Data Repository

A data repository is a storage location designed for data management and analysis. These repositories can take various forms, such as databases, data warehouses, or data lakes, and are essential for…

Data Representation

Data representation refers to the way data is stored, processed, and transmitted in computer systems. This concept encompasses various techniques and formats that allow information to be organized…

Data Representation Graph

A data representation graph is a mathematical structure used to model relationships between different entities in a visual and structured manner. In this context, a graph consists of nodes (or…

Data Rescaling

Data rescaling is the process of adjusting the scale of data to fit a specific range. This procedure is fundamental in data preprocessing, especially in the context of machine learning and data…

Data Resilience

Data resilience refers to the ability of data systems to recover from disruptions and maintain operations in a decentralized environment. This concept is fundamental in any setting where data is…

DataResource

A data resource, in the context of cloud computing, refers to any resource that is involved in a data event. These resources can include, but are not limited to, cloud storage objects, database…

DataResourceResponse

The DataResourceResponse is the response returned by a data resource API call in cloud environments. This response contains detailed information about the data resources that have been accessed or…

Data Retention

Data retention refers to the policies and practices related to the storage and management of data over time. This concept is fundamental in the field of information technology, as it involves not…

DevOps and operations

Data Retention Monitoring

Data retention monitoring is the process of ensuring that data is maintained and managed according to the policies established by an organization. This process involves the constant supervision of…

Data Retention Policy

A data retention policy is a set of guidelines that establishes how long data should be retained and when it should be deleted. This policy is crucial for ensuring the security and privacy of…

Software development

Data Retrieval API

A Data Retrieval API is a programming interface that allows developers to access and extract information from various data sources, such as databases, web services, or applications. These APIs are…

Data rights are the prerogatives that individuals have over their personal data, allowing them to control how their data is collected, used, and shared. These rights are fundamental in the context of…

Data Risk Assessment

Data Risk Assessment in the Cloud Security category is a critical process that involves identifying and analyzing risks associated with data management stored in cloud environments. This process…

Data Risk Management

Data risk management in the context of IoT (Internet of Things) security refers to the systematic process of identifying, assessing, and mitigating risks associated with the collection, storage, and…

Artificial intelligence

DataRobot

DataRobot is an enterprise AI platform that automates the process of building, deploying, and maintaining machine learning models. This tool stands out for its ability to democratize access to…

Data Room

A Data Room is a secure online repository designed to store and share sensitive documents. This type of platform allows organizations to manage critical information efficiently, ensuring the…

Data Sampling

Data sampling is the process of selecting a representative subset from a larger dataset. This process is fundamental in various disciplines as it allows for analysis and conclusions to be drawn…

Operating systems

Data Sanitization

Data sanitization is the process of removing sensitive data from a storage device before its disposal. This procedure is crucial for protecting personal and confidential information, preventing it…

Data Scalability

Data scalability refers to the ability of a system to handle an increasing amount of data efficiently and effectively. This means that as the volume of data grows, the system must be able to adapt…

Data scanning

Data scanning is the process of examining data to identify patterns, trends, or anomalies. This process is fundamental in data analysis, as it allows analysts and data scientists to extract valuable…

Data Science

Data science is a multidisciplinary field that combines statistics, data analysis, and machine learning to extract knowledge and information from structured and unstructured data. Its goal is to…

Data Science Virtual Machines

Data Science Virtual Machines on Microsoft Azure are preconfigured environments that provide data scientists and analysts with access to popular tools and frameworks for data analysis and machine…

Data Scraping

Data scraping is a technique used to quickly extract large amounts of data from websites. This practice involves the use of automated programs, known as 'bots' or 'scrapers', which navigate web pages…