A Review of analytics platform architecture in a Diversified Approach for Big Data Techniques

Exploring the Challenges and Opportunities in Big Data Analytics

Abstract

The rapid climb of the latest technologies, modernization of application, and therefore thedimensionless growth of communication industries produces a multivolume of data every year. Datacomes from various sources at different rates. It's impossible to use traditional data managementstrategies because of the complexity of big data. The new age of big data is a result of this. Big data ishere to stay. On the other hand, Traditional data Analytics, are incapable of dealing with such enormousdata volumes. The challenges that arise right now are how to establish a high-efficiency system for bigdata analysis how to design an appropriate mining algorithm to discover important objects in vastdata. The development of big data applications has risen in importance over the last several years. Datamining is being used by an increasing number of firms across a broad variety of sectors to obtainmeaningful insights. This study focuses on the analytical perspectives expressed by several academicsin the field of huge data. This article begins with a basic overview of data analytics and then moves on toa discussion of big data analytics. The majority of its focus is on the platform's key elements andapplications, as well as a few huge data concerns. Several crucial unsolved challenges and researchobjectives will also be presented for the next step in big data analytics.