Taxonomy Outline of Big Data Analytics Literature

Taxonomy Outline of Big Data Analytics Literature

Sapna Sinha (Amity School of Engineering and Technology, India), Vishal Bhatnagar (Ambedkar Institute of Advance Communication Technologies & Research, India) and Abhay Bansal (Amity School of Engineering and Technology, India)
Copyright: © 2014 |Pages: 16
DOI: 10.4018/978-1-4666-5202-6.ch219
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Steps Of Big Data Analytics

The research in the domain of Big Data Analytics is exhaustive and spread across various journals and the white paper published by corporate involve in research of Big Data Analytics. The roadmap of Big Data Analytics is depicted in the form of steps as shown in Figure 1.

Figure 1.

Roadmap of steps involved in big data analytics

The factors to be considered in the each step of Big Data Analytics are discussed below:

Key Terms in this Chapter

Analytics: It is the process of analyzing data belonging to specific domain using analytical tools.

Business Intelligence (BI): BI includes set of applications, infrastructure, tools and techniques that is used for analysis of information for decision making.

Big Data Analytics: It is the process of analyzing big data to uncover the hidden patterns and facts for competitive advantage using Data Mining and Business Intelligence tools and techniques.

ETL (Extract-Transform-Load): It is a function of databases for pulling data out of the database and place it into another database.

Data Visualization: It is the technique of visual representation of the data analysis result.

Big Data: Big Data is the data with huge volume, variety and velocity, traditional tools are not able to handle such a huge datasets.

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