Big Data Harmonization – Challenges and Applications

Main Article Content

Prof. Jigna Ashish Patel, Dr. Priyanka Sharma

Abstract

As data grow, need for big data solution gets increased day by day. Concept of data harmonization exist since two decades. As data is to be collected from various heterogeneous sources and techniques of data harmonization allow them to be in a single format at same place it is also called data warehouse. Lot of advancement occurred to analyses historical data by using data warehousing. Innovations uncover the challenges and problems faced by data warehousing every now and then. When the volume and variety of data gets increased exponentially, existing tools might not support the OLAP operations by traditional warehouse approach. In this paper we tried to focus on the research being done in the field of big data warehouse category wise. Research issues and proposed approaches on various kind of dataset is shown. Challenges and advantages of using data warehouse before data mining task are also explained in detail.

Article Details

How to Cite
, P. J. A. P. D. P. S. (2017). Big Data Harmonization – Challenges and Applications. International Journal on Recent and Innovation Trends in Computing and Communication, 5(6), 206 –. https://doi.org/10.17762/ijritcc.v5i6.748
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