System and Method for a Big Data Analytics Enterprise Framework
First Claim
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1. A system for providing big data analytics framework for predictive and qualitative analysis, said system comprising:
- a) a standardized web-based explorer interface module configured to;
receive database schema from a business user and a software development kit (SDKs) provided to software developers to utilize said explorer interface to develop, test, store, manage and deploy the said database schema;
b) a pre-defined or custom adapter module based adapter module configured to;
ingest data to the said database by the software engineer as assigned by the business user;
c) a processor manager module configured to;
process the received data based on request from the business user using defined metrics; and
further the software engineer completes the task and deploys the processor;
d) a predict manager module configured to;
assign an analytic task to a data scientist, wherein the data scientist uses a curl tool to pull the data via REST (Representational State Transfer) architectural style APIs, and once the data is built the data scientist deploys a scoring engine using the curl tool;
e) a user interface module configured to;
extract data by a user interface designer assigned by the business user for visualization associated with lead scoring, sales forecasting and other relevant store, process and predict functionalities of big data.
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Abstract
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.
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Citations
14 Claims
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1. A system for providing big data analytics framework for predictive and qualitative analysis, said system comprising:
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a) a standardized web-based explorer interface module configured to; receive database schema from a business user and a software development kit (SDKs) provided to software developers to utilize said explorer interface to develop, test, store, manage and deploy the said database schema; b) a pre-defined or custom adapter module based adapter module configured to; ingest data to the said database by the software engineer as assigned by the business user; c) a processor manager module configured to; process the received data based on request from the business user using defined metrics; and
further the software engineer completes the task and deploys the processor;d) a predict manager module configured to; assign an analytic task to a data scientist, wherein the data scientist uses a curl tool to pull the data via REST (Representational State Transfer) architectural style APIs, and once the data is built the data scientist deploys a scoring engine using the curl tool; e) a user interface module configured to; extract data by a user interface designer assigned by the business user for visualization associated with lead scoring, sales forecasting and other relevant store, process and predict functionalities of big data. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A method for providing big data analytics framework characterized in providing predictive and qualitative analysis, the method comprising steps of:
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a) providing a standardized web-based explorer interface module to receive database schema from a business user and a software development kit (SDKs) provided to software developers to utilize said explorer interface to develop, test, store, manage and deploy the said database schema; b) configuring a pre-defined or custom based adapter module to ingest data to the said database by the software engineer as assigned by the business user; c) providing a processor manager configures to process the received data based on request from the business user using defined metrics; and
further the software engineer completes the task and deploys the processor;d) 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 the data via REST (Representational State Transfer) architectural style APIs, and once the data is built the data scientist deploys a scoring engine using the curl tool; e) providing a user interface module configured to extract data by a user interface designer assigned by the business user for visualization associated with lead scoring, sales forecasting and other relevant store, process and predict functionalities of big data. - View Dependent Claims (9, 10, 11, 12, 13, 14)
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Specification