Pre-aggregation 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.
Anomaly Detection
Identify data points or events that deviate significantly from expected patterns or behaviors.
Consolidate
Combine multiple datasets into one to create a more comprehensive view of the data.
Downsample
Reduce the amount of data for analysis, storage, or processing.
Feature Extraction
Identify and extract relevant features from raw data for use in analysis or modeling.
Feature Selection
Identify and select the most relevant and informative features for analysis or modeling.
Sample
Extract a subset of data for exploratory analysis or to reduce computational complexity.