The Bucket Pattern is a useful approach to organizing time-series data, particularly in IoT, Real-Time Analytics, or Time-Series data, by grouping measurements together based on a specific time span. This pattern can reduce index size, simplify queries, and enable the use of pre-aggregated data. By applying this pattern to a data stream, documents can be created that hold measurements from a particular time span, allowing for potential query simplification and improved storage efficiency. The Bucket Pattern enables efficient access to historical trends, forecasting, and optimization by providing pre-aggregated values such as average temperature or sum of temperatures. This approach is particularly beneficial when dealing with large amounts of data and can be used in various applications, including IoT implementations and financial transactions.