5V’s of Big Data
Characteristics of big data defined as Volume, Velocity, Variety, Veracity, and Value.
249 topics found for
“data integration”
Big Data Engineer
A professional who designs, builds, and maintains systems for processing large-scale data sets.
Synthetic Data
Artificially generated data that mimics real data, used for training machine learning models.
Data Architect
A professional responsible for designing and managing data structures, storage solutions, and data flows within an organization.
Thin Data
Quantitative data that provides broad, numerical insights but often lacks the contextual depth that thick data provides.
Data Distribution
The spread and pattern of data values in a dataset, often visualized through graphs or statistical measures.
Repository
A central location where data is stored and managed.
Knowledge Graphs
A network of real-world entities and their interrelations, organized in a graph structure, used to improve data integration and retrieval.
GIGO
Garbage In-Garbage Out (GIGO) is a principle stating that the quality of output is determined by the quality of the input, especially in computing and data processing.