Enhance Your Learning with Big Data Technology Flash Cards for quick learning
Refers to extremely large and complex data sets that cannot be easily managed, processed, or analyzed using traditional data processing techniques.
The process of examining large data sets to uncover hidden patterns, correlations, and other insights that can help in making informed business decisions.
A centralized repository that stores structured and organized data from various sources, making it easier to retrieve and analyze for reporting and data analysis purposes.
An open-source framework that allows for distributed processing of large data sets across clusters of computers using simple programming models.
A programming model and software framework used for processing and generating large data sets in parallel across a distributed cluster of computers.
A type of database management system that provides a flexible and scalable approach to storing and retrieving unstructured and semi-structured data.
The process of discovering patterns and extracting useful information from large data sets, often used for predictive analysis and decision-making.
The representation of data in a visual format, such as charts, graphs, and maps, to help understand and communicate insights from the data.
A branch of artificial intelligence that focuses on the development of algorithms and models that enable computers to learn and make predictions or decisions without being explicitly programmed.
The simulation of human intelligence in machines that are programmed to think and learn, enabling them to perform tasks that typically require human intelligence.
The protection of sensitive and personal information from unauthorized access, use, or disclosure, ensuring that individuals have control over their own data.
The practice of protecting data from unauthorized access, use, disclosure, disruption, modification, or destruction, ensuring its confidentiality, integrity, and availability.
The network of physical devices, vehicles, appliances, and other objects embedded with sensors, software, and connectivity, enabling them to collect and exchange data.
The delivery of computing services, including storage, processing power, and software, over the internet, providing on-demand access to shared resources.
The process of combining data from different sources and formats into a unified view, enabling comprehensive analysis and decision-making.
The overall management of the availability, usability, integrity, and security of data within an organization, ensuring compliance with regulations and policies.
The degree to which data meets the requirements and expectations of users, including accuracy, completeness, consistency, and timeliness.
An interdisciplinary field that combines scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data.
The use of statistical models and algorithms to analyze current and historical data in order to make predictions about future events or behaviors.
The process of making informed decisions based on analysis and interpretation of data, rather than relying solely on intuition or personal experience.
A storage repository that holds a vast amount of raw and unprocessed data in its native format, allowing for flexible exploration and analysis.
The process of identifying and correcting or removing errors, inconsistencies, and inaccuracies in data, ensuring its accuracy and reliability.
The process of converting data from one format or structure to another, often performed to prepare data for analysis or integration with other systems.
The process of transferring data from one system or storage format to another, often performed when upgrading or replacing systems.
The process of reducing the size of data to save storage space and improve transmission efficiency, often achieved through encoding and decoding techniques.
The process of converting data into a form that cannot be easily understood or accessed without the use of a decryption key, ensuring its confidentiality and security.
The process of creating copies of data and storing them in a separate location, allowing for the restoration of data in case of data loss or system failure.
The process of analyzing and visualizing data to discover patterns, trends, and relationships, often used to generate hypotheses and guide further analysis.
The process of creating a conceptual or logical representation of data, often using diagrams or mathematical formulas, to facilitate understanding and analysis.
The process of designing, building, and managing data warehouses, enabling efficient storage, retrieval, and analysis of large volumes of data.