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Research Paper | Computer Science & Engineering | India | Volume 4 Issue 12, December 2015

Challenges with Big Data Analytics

Saumya Salian ^[2]

Abstract: Big Data Analytics is high-focus of data science. Huge volumes of business data collected from diverse sources can provide a tremendous scope to understand business trends and customer behavior. Big Data has become significant as many organizations both public and private have been collecting voluminous amount of domain-specific information, which can contain useful information about problems such as national intelligence, marketing, cyber security, fraud detection and medical informatics. The potential of data-driven decision-making is now being acknowledged broadly, and there is expanding exuberance for the notion of ``Big Data. Diversity, scale, timeliness, complexity, and privacy problems with Big Data impede progress at all phases that can create value from data. The aim of this research is to investigate specific challenges introduced with Big Data Analytics.

Keywords: Analytics, Data Modeling, Visualization, Integration

Edition: Volume 4 Issue 12, December 2015,

Pages: 778 - 780

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