Data aggregation is the process of compiling data (often from multiple data sources) to provide high-level summary information that can be used for statistical analysis. An example of a simple data aggregation is finding the sum of the sales in a particular product category for each region you operate in. This statistical summary makes it easier to analyze large volumes of data. Common data aggregations include sum, average, max, min, and count.
How Trifacta Helps with Data Aggregation
Trifacta’s open data engineering environment significantly reduces the time it takes to perform data preparation tasks like data aggregation. Our self-service data engineering cloud is open, interactive, and collaborative, making it easy to compile data from multiple sources, perform aggregations, and share the results with your data team - even with limited coding or technical skills.