concept

Data Aggregation

Data aggregation is the process of collecting, summarizing, and combining data from multiple sources into a unified format for analysis, reporting, or decision-making. It involves operations like grouping, counting, averaging, summing, or finding maximum/minimum values to transform raw data into meaningful insights. This concept is fundamental in data processing, business intelligence, and statistical analysis to handle large datasets efficiently.

Also known as: Data Summarization, Data Roll-up, Aggregation, Data Consolidation, Aggregating Data
🧊Why learn Data Aggregation?

Developers should learn data aggregation when working with databases, data analytics, or business intelligence systems to generate reports, dashboards, or perform data-driven decision-making. It is essential for use cases such as summarizing sales data by region, calculating average user engagement metrics, or aggregating log files for monitoring system performance, enabling efficient data handling and reducing complexity in analysis.

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