Data delivery architecture for transforming client response data

Patent metadata

Field	Value
Publication number	US-11200251-B2
Application number	US-201916709089-A
Country	US
Kind code	B2
Filing date	Dec 10, 2019
Priority date	May 2, 2017
Publication date	Dec 14, 2021
Grant date	Dec 14, 2021

Abstract

The described technology is directed towards a data transformation pipeline architecture of a data service that processes generalized datasets into datasets (e.g., video data or graph nodes) customized for a particular client device. Described herein is maintaining a set of data transformation models at a data service, and upon receiving a client request for data, selecting a relevant subset of the transformation models and arranging the subset into a data transformation pipeline. In general, the pipeline of transformation models transforms the generalized data into the format and shape that each client device expects. The subset may be selected based upon device type, device class and/or software version information (and possibly state data) sent with each data request. The transformation models may be maintained in a hierarchical data store such as files in a file system to facilitate retrieval by searching the hierarchy for appropriate transformation models.

First claim

What is claimed is:

1. A system comprising,
a processor; and
a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations, comprising:
receiving a data request for a data item, wherein the data request comprises client-specific information associated with a client device that submitted the data request;
obtaining a generalized data item corresponding to the data item;
accessing a hierarchy of transformation models arranged according to various client-specific information;
selecting a plurality of transformation models from the hierarchy based upon the client-specific information;
building a data transformation pipeline comprising the plurality of transformation models in a specific order;

employing the data transformation pipeline to transform the generalized data item into a customized data item for the client device according to the client-specific information; and
providing the customized data item to the client device.

2. The system of claim 1 , wherein the data transformation pipeline comprises a template transformation model that at least one of formats or shapes data based upon the client-specific information.

3. The system of claim 1 , wherein the transformation pipeline comprises at least one of: a video transformation model, a template transformation model, a filtering transformation model, a namespace transformation model, a user state-based transformation model, a custom transformation model or a data expansion transformation model.

4. The system of claim 1 , wherein the transformation pipeline is maintained as a transformation pipeline instance that is useable for other requests for data.

5. The system of claim 1 , wherein the plurality of transformation models are arranged in the specific order based on input requirements of respective transformations models of the plurality of transformations models.

6. The system of claim 5 , wherein the transformation pipeline is built with the plurality of transformation models, in which based on the client-specific information, a more-specific transformation model overrides a less-specific transformation model.

7. The system of claim 5 , wherein the hierarchy comprises a file system having folders with folder paths corresponding to the various client-specific information, and wherein the data request corresponds to a file type maintained within the folders.

8. The system of claim 1 , caching the customized data item in a cache that is part of a front-end data service.

9. The system of claim 1 , wherein the data item corresponds to video data or a user interface.

10. The system of claim 1 , wherein the data item corresponds to a graph node data structure containing data that represents an interactive menu or a selectable content.

11. The system of claim 1 , wherein the client-specific information comprises device type information of the client device.

12. The system of claim 1 , wherein the client-specific information comprises device class information or information from which a device class is determinable.

13. The system of claim 1 wherein the client-specific information comprises software version data of the client device.

14. A method comprising:
receiving, by a system comprising a processor, a data request for a data item, wherein the data request comprises client-specific information associated with a client device that submitted the data request;
obtaining, by the system, generalized data corresponding to the data item;
accessing, by the system, a hierarchy of transformation models arranged according to various client-specific information;
selecting, by the system, a plurality of transformation models from the hierarchy based upon the client-specific information;
building, by the system, a data transformation pipeline comprising the plurality of transformation models in a specific order;
inputting, by the system, the generalized data into the data transformation pipeline;
receiving, by the system from the data transformation pipeline, a customized data item according to the client-specific information; and
delivering, by the system, the customized data item to the client device.

15. The method of claim 14 , wherein the obtaining the generalized data comprises at least one of: communicating with a data service back-end, communicating with one or more data sources, or searching a cache of generalized data.

16. The method of claim 14 , wherein the building the transformation pipeline comprises arranging the plurality of transformation models in the specific order based on input requirements of respective transformations models of the plurality of transformations models.

17. The method of claim 14 , wherein the accessing the hierarchy of data structures comprises building a path order in the hierarchy, and searching via the path order until at least one transformation model is found that is a most specific transformation model available based upon the client-specific information.

18. The method of claim 14 , further comprising determining a type of the data item by matching an identifier of the data item to a regular expression.

19. A non-transitory machine-readable medium, comprising executable instructions that, when executed by a processor of a device, facilitate performance of operations, comprising:
receiving a data request for a data item, wherein the data request comprises client-specific information associated with a client device that submitted the data request;
accessing a hierarchy of transformation models arranged according to various client-specific information;
selecting a plurality of transformation models from the hierarchy based upon the client-specific information;
building a transformation pipeline comprising the plurality of transformation models in a specific order;
obtaining a generalized data item corresponding to the data item;
processing the generalized data item through the transformation pipeline to obtain a client specific data item; and
sending the client specific data item to the client device.

20. The one or more machine-readable storage media of claim 19 , wherein the building the transformation pipeline comprises arranging the plurality of transformation models in the specific order based on input requirements of respective transformations models of the plurality of transformations models.

Assignees

• Home Box Office Inc

Inventors

• Busayarat Sata
• Furtwangler Brandon C
• Gay Allen Arthur
• Lutz Jonathan David
• Furtwangler Steven N

Classifications

• H04L65/764 Primary

  at the destination  (reformatting of additional data in video clients H04N21/4355) · CPC title

• G06F16/168

  Details of user interfaces specifically adapted to file systems, e.g. browsing and visualisation, 2d or 3d GUIs (query results presentation G06F16/156) · CPC title

• G06F16/738

  Presentation of query results · CPC title

• G06F16/9024

  Graphs; Linked lists (G06F16/9027 takes precedence) · CPC title

• G06F16/254 Primary

  Extract, transform and load [ETL] procedures, e.g. ETL data flows in data warehouses · CPC title