Patent ID: 9275059
Filing Date: 2016-03-01
CPC Classification: G06F,G16B

Claim Text:
1. A computer implemented method for modeling a Big Data dataset, the method comprising: creating non-specific representations of the Big Data dataset by representing, as objects in a computer model, the non-specific representations including metaInformation, DataSet, BigData and Properties representations; wherein respective portions of the BigData dataset are enabled to be stored in respective file systems and object stores; creating non-specific representations of indices, wherein the indices are mapped to one or more key-value pairs; wherein the non-specific representation of indices are used to create one or more index planes enabled to reference portions of the Big Data dataset; wherein the respective portions are stored in the respective file systems and object stores; wherein each of the one or more index planes represents the Big Data dataset at a different level of abstraction; wherein each of the one or more index planes is enabled to be a part of a meshed plane of abstraction; wherein analytics are enabled to be performed and stored at each of the one or more index planes; wherein a first index plane of the one or more index planes and a second index plane of the one or more index planes are enabled to be combined at a generation plane; and enabling the Big Data dataset to be distributed to nodes based on the mapping of the one or more index planes; wherein each node of the nodes is enabled to be part of a respective file system or object store to enable the Big Data dataset to be stored across the respective file systems and object stores; wherein the mapping of the one or more index planes enables the Big Data dataset to be viewed irrespective of underlying file systems and object stores.