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’:
Combine data from multiple sources into a single dataset.
Identify data points or events that deviate significantly from expected patterns or behaviors.
Combine multiple datasets into one to create a more comprehensive view of the data.
Reduce the amount of data for analysis, storage, or processing.
Identify and extract relevant features from raw data for use in analysis or modeling.
Identify and select the most relevant and informative features for analysis or modeling.
Extract a subset of data for exploratory analysis or to reduce computational complexity.