System and method for a big data analytics enterprise framework

10643,181

14/828518

August 18, 2015

A method and system for providing big data analytics framework for predictive and qualitative analysis for application developers, data scientists and system engineers without having technology specific programming experience. Further the framework contains adapters for the software engineers to configure the big data hub, wherein these software engineers can easily share, store, process and predict functionalities with the data scientists and user interface (UI) developers.

Ayyaswami, Satish (Kanchipuram District, IN)

1. A method for providing big data analytics, the method comprising steps of: providing a web-based explorer interface module to receive a database schema of a source database, wherein the database schema indicates how entities that make up a database relate to one another; configuring a pre-defined or custom based adapter module, which programmatically refers to the database schema defined using the web-based explorer interface module, to retrieve data from the source database of said database schema and ingest the retrieved data into a target database; providing a processor manager module configured to process the ingested data to obtain metrics, wherein the processing is based on how the metrics are defined; providing a predict manager module configured to assign an analytic task to a data scientist, wherein the data scientist uses a curl tool to pull said ingested data via REST (Representational State Transfer) architectural style APIs, and once the ingested data is built, the data scientist deploys a scoring engine using the curl tool; and providing a user interface module configured to provide visualization of the ingested data, in the form of charts; wherein the modules are coupled with a framework and integrated for ad-hoc big data gathering.

2. The method of claim 1 , wherein the database schema is stored in form of structured and unstructured big data.

3. The method of claim 1 , wherein each of the modules is created, tested initiated, stopped, restarted upgraded, modified, deleted, deployed, and un-deployed based on the request from application developers or software engineers or data scientists or business user.

4. The method of claim 1 , wherein the framework is equipped with monitoring, management and control of service setup, software and hardware setup implemented by means of web-based portals in the framework.

5. The method of claim 1 , wherein the framework is configured to enable identity management, policy driven access control, data privacy controls and authentication of various levels accessing the framework.

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2013/0117847 May 2013 Friedman
2013/0290234 October 2013 Harris
2014/0006169 January 2014 Maag
2014/0006338 January 2014 Watson
2014/0075557 March 2014 Balabine
2014/0082586 March 2014 Casey
2014/0114962 April 2014 Rosenburg
2014/0266613 September 2014 Sehmer
2014/0279837 September 2014 Guo
2014/0310243 October 2014 McGee
2014/0359552 December 2014 Misra
2015/0039444 February 2015 Hardin
2015/0277404 October 2015 Maturana
2015/0317197 November 2015 Blair
2015/0347096 December 2015 Hanna
2016/0088021 March 2016 Jayanti Venkata
2016/0110810 April 2016 Ashok
2016/0328719 November 2016 Ananchaperumal

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