Data Acquisition with Big Data using Rule-based Data Integration method
- Author Sowmya R
- Co-Author Dr. Suneetha K R
- DOI https://ww
- Country : India
- Subject : Computer Science and Engineering
Keywords : Big Data, Pre-processing, Decision trees, Data reduction, Cleansing, Data Integration, real-time.
Abstract
Data is an Information, in the form of facts or statistics that one can analyze or use for any further calculations in the respective domain to satisfy their own requirements. “Big Data” is a high-volume, high-velocity and high-variety information asset that requires new forms of processing for enhanced decision making, knowledge discovery and process needs. Big Data can be classified based on its characteristics that are used as per the designing data architecture for processing and analytics. Processing complex applications with large datasets. i.e., from terabytes to petabytes data in short time with a minimum cost is more challenging and problematic. Yet because this data is typically loosely structured and often incomplete, essential data is inaccessible to users. The proposed model mainly focuses on the insight view of the design model for the Data Acquisition stage in Big Data, which helps to achieve a perfect balance between providing data access control and facilitating data processing. The framework presents a systematic model to deliver Data Acquisition with Big Data using external data sources, events, and logs. The acquisition model in this presents the rule-based decision tree method to integrate the data from different sources.
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