Nutanix, Inc.
FINE-GRAINED FORECAST DATA MANAGEMENT

Abstract:

Systems, methods and computer program products for forecast data storage. Embodiments implement fine-grained forecast data management. A cloud-based object storage system capable of storing multiple versions of an object in a container is identified. A forecast data set covering a relatively longer time period (e.g., years) is partitioned into fine-grained forecast data items corresponding to relatively shorter forecast data time periods (e.g., months, days). Some of the fine-grained forecast data items corresponding to the relatively shorter forecast data time periods are stored into a first portion of metadata of the container rather than storing the forecast data items into the object itself. Updated variations of the fine-grained forecast data items and/or new forecast data items are stored in versions of the object. A second portion of metadata of the container is used to describe a version mapping between the forecast data time periods and corresponding object versions in the container.