Elasticsearch aggregations offer a powerful way to group and perform calculations on data using simple search queries, enabling users to extract meaningful insights. Functioning as analytical units, these aggregations can be executed through Kibana's UI Dev Tools, CURL, or APIs, and are applicable both to self-managed ELK stacks and managed services like Logz.io's OpenSearch. The article outlines several key aggregation types, including bucket, metric, matrix, and pipeline aggregations, and highlights five essential types: cardinality, stats, filter, terms, and nested aggregations, each providing unique methods for analyzing data. Practical examples, such as calculating the average price of products or determining the number of unique SKUs, are provided to demonstrate the utility and functionality of each aggregation type. While exploring these techniques, users can also consult Elastic's official resources for further learning and application.