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Pre-aggregate

See 'aggregate'.

Pre-aggregation is a specific type of aggregation that occurs before data is stored, aimed at optimizing query performance and reducing computational resources.

Jump to the entry for 'aggregate'.

Other data engineering terms related to
‘Data Aggregation and Summarization’:
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Aggregate

Combine data from multiple sources into a single dataset.
An image representing the data engineering concept of 'Aggregate'
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Anomaly Detection

Identify data points or events that deviate significantly from expected patterns or behaviors.
An image representing the data engineering concept of 'Anomaly Detection'
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Consolidate

Combine multiple datasets into one to create a more comprehensive view of the data.
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Downsample

Reduce the amount of data for analysis, storage, or processing.
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Feature Extraction

Identify and extract relevant features from raw data for use in analysis or modeling.
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Feature Selection

Identify and select the most relevant and informative features for analysis or modeling.
An image representing the data engineering concept of 'Feature Selection'
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Sample

Extract a subset of data for exploratory analysis or to reduce computational complexity.
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