TY  - JOUR
T1  - Big Data Harmonization-Data Loading and Data Storage
AU - Patel, Jitali AU - Sharma, Priyanka AU - Patel, Jigna 
JO  - Journal of Engineering and Applied Sciences
VL  - 14
IS  - 20
SP  - 7731
EP  - 7735
PY  - 2019
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2019.7731.7735
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2019.7731.7735
KW  - heterogeneous data
KW  -Hadoop
KW  -OLAP
KW  -Data warehouse
KW  -programming model
KW  -data storage process
AB  - 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.
ER  -