The Bucket Pattern is a data model design approach used in MongoDB to improve paging performance. It involves storing related data points over time as a single document, with fields that duplicate across the original documents condensed into the root of the new document. This approach allows for efficient storage and retrieval of data, enabling fast page loads by reducing the number of documents retrieved from the database. By using this pattern, developers can store information as it's needed for display, making it easier to implement pagination with minimal latency. The Bucket Pattern is particularly useful when dealing with large datasets that require frequent paging, such as stock trade history or other time-series data.