Data preaggregation definition
Preaggregation is a specific type of aggregation that occurs before data is stored, aimed at optimizing query performance and reducing computational resources.
Other data engineering terms related to
‘Data Aggregation and Summarization’:
Aggregate
Combine data from multiple sources into a single dataset.
![An image representing the data engineering concept of 'Aggregate'](/glossary/badge/badge-aggregate-min.jpg)
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'](/glossary/badge/badge-anomaly-detection-min.jpg)
Consolidate
Combine multiple datasets into one to create a more comprehensive view of the data.
![An image representing the data engineering concept of 'Consolidate'](/glossary/badge/badge-consolidate-min.jpg)
Downsample
Reduce the amount of data for analysis, storage, or processing.
![An image representing the data engineering concept of 'Downsample'](/glossary/badge/badge-downsample-min.jpg)
Feature Extraction
Identify and extract relevant features from raw data for use in analysis or modeling.
![An image representing the data engineering concept of 'Feature Extraction'](/glossary/badge/badge-feature-extraction-min.jpg)
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'](/glossary/badge/badge-feature-selection-min.jpg)
Sample
Extract a subset of data for exploratory analysis or to reduce computational complexity.