Select the correct description of aggregation in data integration.

Aggregation in data integration refers to the process of collecting and combining data from multiple sources into a single, unified view. This is essential for generating comprehensive insights and facilitating more informed decision-making. By taking data from many sources and consolidating it into one, aggregation enables organizations to analyze and utilize the combined information more effectively.

In this context, the other descriptions do not align with the concept of aggregation. Extracting data only from one source pertains to data extraction rather than aggregation. Synchronizing data between two systems focuses on ensuring consistency between them but does not involve combining data from multiple inputs into a collective output. Creating backups of all datasets is concerned with data preservation rather than integration or aggregation of diverse data sources. Thus, the first option accurately captures the essence of aggregation in data integration.