Abstract:
In accordance with embodiments, there are provided mechanisms and methods for selecting a synchronous or asynchronous process to determine a forecast. These mechanisms and methods for such synchronous/asynchronous process selection can enable embodiments to determine forecasts for multiple users (e.g. with hierarchical relationships, etc.) over an arbitrary time interval. The ability of embodiments to provide forecasts that involve such a large amount of data in an effective way can enable forecasting that was otherwise infeasible due to resource limitations.
Abstract:
In accordance with embodiments, there are provided mechanisms and methods for selecting a synchronous or asynchronous process to determine a forecast. These mechanisms and methods for such synchronous/asynchronous process selection can enable embodiments to determine forecasts for multiple users (e.g. with hierarchical relationships, etc.) over an arbitrary time interval. The ability of embodiments to provide forecasts that involve such a large amount of data in an effective way can enable forecasting that was otherwise infeasible due to resource limitations.
Abstract:
In accordance with embodiments, there are provided mechanisms and methods for selecting a synchronous or asynchronous process to determine a forecast. These mechanisms and methods for such synchronous/asynchronous process selection can enable embodiments to determine forecasts for multiple users (e.g. with hierarchical relationships, etc.) over an arbitrary time interval. The ability of embodiments to provide forecasts that involve such a large amount of data in an effective way can enable forecasting that was otherwise infeasible due to resource limitations.
Abstract:
In accordance with embodiments, there are provided mechanisms and methods for selecting a synchronous or asynchronous process to determine a forecast. These mechanisms and methods for such synchronous/asynchronous process selection can enable embodiments to determine forecasts for multiple users (e.g. with hierarchical relationships, etc.) over an arbitrary time interval. The ability of embodiments to provide forecasts that involve such a large amount of data in an effective way can enable forecasting that was otherwise infeasible due to resource limitations.
Abstract:
In accordance with embodiments, there are provided mechanisms and methods for selecting a synchronous or asynchronous process to determine a forecast. These mechanisms and methods for such synchronous/asynchronous process selection can enable embodiments to determine forecasts for multiple users (e.g. with hierarchical relationships, etc.) over an arbitrary time interval. The ability of embodiments to provide forecasts that involve such a large amount of data in an effective way can enable forecasting that was otherwise infeasible due to resource limitations.
Abstract:
In accordance with embodiments, there are provided mechanisms and methods for versioning content in a database system using content type specific objects. These mechanisms and methods for versioning content in a database system using content type specific objects can enable embodiments to provide a database system which stores information associated with multiple versions of content. The ability of embodiments to provide a database system which supports content versioning can enable an efficient and comprehensive storage of content types having different features by the database system.
Abstract:
In accordance with embodiments, there are provided mechanisms and methods for selecting a synchronous or asynchronous process to determine a forecast. These mechanisms and methods for such synchronous/asynchronous process selection can enable embodiments to determine forecasts for multiple users (e.g. with hierarchical relationships, etc.) over an arbitrary time interval. The ability of embodiments to provide forecasts that involve such a large amount of data in an effective way can enable forecasting that was otherwise infeasible due to resource limitations.
Abstract:
In accordance with embodiments, there are provided mechanisms and methods for selecting a synchronous or asynchronous process to determine a forecast. These mechanisms and methods for such synchronous/asynchronous process selection can enable embodiments to determine forecasts for multiple users (e.g. with hierarchical relationships, etc.) over an arbitrary time interval. The ability of embodiments to provide forecasts that involve such a large amount of data in an effective way can enable forecasting that was otherwise infeasible due to resource limitations.
Abstract:
In accordance with embodiments, there are provided mechanisms and methods for selecting a synchronous or asynchronous process to determine a forecast. These mechanisms and methods for such synchronous/asynchronous process selection can enable embodiments to determine forecasts for multiple users (e.g. with hierarchical relationships, etc.) over an arbitrary time interval. The ability of embodiments to provide forecasts that involve such a large amount of data in an effective way can enable forecasting that was otherwise infeasible due to resource limitations.