NoSQL Aggregation
NoSQL aggregation refers to the process of grouping, filtering, and transforming data in NoSQL databases to compute summaries, statistics, or derived values from large datasets. It involves operations like grouping by fields, applying functions (e.g., sum, average, count), and pipeline-based processing, commonly used in document-oriented databases like MongoDB. This enables efficient data analysis and reporting without requiring complex joins typical in relational databases.
Developers should learn NoSQL aggregation when working with unstructured or semi-structured data in NoSQL systems, such as for real-time analytics, log processing, or generating business insights from large volumes of data. It is essential for applications like e-commerce dashboards, IoT data streams, or social media analytics where flexible querying and performance are prioritized over strict schema constraints.