Multidimensional Data Analytics with Big Data Management
Abstract: Size is the first, and at times, the only dimension that leaps out when referring to big data. The rapid evolution and adoption of big data by industry has leapfrogged the discourse to popular outlets, forcing the academic press to catch up. This paper provides an overview on issues and achievements in the field of analytics over big data. The paper�s primary focus is on the analytic methods used for big data. The study explores the views on analytics over big multidimensional data as well, by highlighting open problems and actual research trends. The current study explores several novel research directions in big data which plays a leading role in next-generation Data Warehousing and OLAP research.
Keywords: Big Data, Multidimensional Data, Analytics of Big Data, Data Warehousing, Repository, Database Management, OLAP.
How to Cite:
[1] Jitendra Singh Tomar, “Multidimensional Data Analytics with Big Data Management,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2017.6469
