Comparative Analysis of Diverse Collection of Big Data Analytics Tools
Over the past era, there have been a lot of efforts and studies are carried out in growing proficient tools for performing various tasks in big data. Recently big data have gotten a lot of publicity for their good reasons. Due to the large and complex collection of datasets it is difficult to process on traditional data processing applications. This concern turns to be further mandatory for producing various tools in big data. Moreover, the main aim of big data analytics is to utilize the advanced analytic techniques besides very huge, different datasets which contain diverse sizes from terabytes to zettabytes and diverse types such as structured or unstructured and batch or streaming. Big data is useful for data sets where their size or type is away from the capability of traditional relational databases for capturing, managing and processing the data with low-latency. Thus the out coming challenges tend to the occurrence of powerful big data tools. In this survey, a various collection of big data tools are illustrated and also compared with the salient features.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1096555Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 3452
 http://www.infoworld.com/d/business-intelligence/7-top-tools-tamingbig- data-191131.
 http://www.pentaho.com/sites/default/files/uploads/resources/pentaho_b a_solution_brief.pdf.
 http://www.asiasoft.hk/english/sfw/Jaspersoft-Business-Intelligence- Suite-ds-EN_AS.pdf