Rollup data in Kibana allows users to efficiently manage storage by summarizing and compacting historical data into a single document using Elasticsearch's rollup APIs, which helps reduce storage costs as data volume increases. This process involves selecting specific fields for future analysis, creating a new rollup index, and maintaining the original data alongside or archiving it. Kibana version 6.5 introduces features for creating, managing, and visualizing rollup jobs, enabling users to start, stop, and delete these jobs, though changes to rollup job settings require creating a new job. Visualizations in Kibana can incorporate both rolled up and raw data, allowing for a comprehensive analysis using various chart types, with certain exceptions, such as Timelion and Visual Builder. Additionally, combination index patterns can be employed to visualize live and rolled up data together, enhancing the ability to analyze data while conserving storage resources.