Authors : Jigna Patel, Priyanka Sharma and Jitali Patel
Abstract: With the wide and fast development of tools and technology in big data era, new challenges in development of OLAP and data harmonization become the essential. Data harmonization provide the common level of granularity from the heterogeneous data sources and with the variety of data formats. To manage big data, distributed environment and Hadoop framework are only the solution. Exponentially increasing data create scalability issue in any model, map reduce programming model resolves that problem. Using these technologies we present series of algorithms combined in our model OOH (Olap on Hadoop) to show the data loading and data storage process.
Jigna Patel, Priyanka Sharma and Jitali Patel, 2019. Big Data Harmonization-Data Loading and Data Storage. Journal of Engineering and Applied Sciences, 14: 7731-7735.