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Big Data
Vast amounts of data collected from various sources, subjective to the size and complexity of an organization.
Data Life Cycle
The process involving Discover (preparation, exploration, modeling) and Deploy (implementation, action, evaluation) phases.
Data
The collection and generation of information for processing.
Analytics
The process of cleansing, normalizing, aggregating, extracting, and analyzing data.
Data Owner
A person or department responsible for safeguarding data and defining access rules.
Data Steward
A person or department managing specific data resources and standardizing data assets.
Structured Data
Data that includes internal source documents like sales orders and invoices.
Unstructured Data
Data from external sources, often in human language, audio, and video formats.
7 Vs of Big Data
Volume, Variety, Velocity, Veracity, Variability, Visualization, and Value.
Predictive Analytics
The process of estimating future outcomes based on past and current data.
Descriptive Analytics
Analysis that describes what has already happened, including content and context analysis.
Prescriptive Analytics
Analysis that helps management decide the best possible outcomes among various options.
Cognitive Analytics
The use of AI technologies to provide insights into business transactions.
Time Series
A sequence of observations on a variable measured at successive points in time.
Time Series Plot
A graphical representation of the relationship between time and a time series variable.
Horizontal Pattern
A time series pattern where data fluctuates randomly around a constant mean.
Trend Pattern
A long-term pattern in time series data resulting from factors like population changes or technology improvements.
Seasonal Pattern
Recurring patterns in time series data observed over successive periods, often related to seasons.
Cyclical Pattern
An alternating sequence of points in a time series that lasts for more than one year, often related to economic cycles.