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Journal of Data Processing
 

Schema Application of the Read Modelling using Hadoop
Sladana Jankovic, Snezana Mladenovic, Stefan Zdravkovic, Ana Uzelac
University of Belgrade, Vojvode Stepe 305 Belgrade 11000, Serbia
Abstract: The schema in the Relational Database Management Systems is used because of the unstructured data and the overhead of Extract, Transform and Load. Schema is important in the data analysis particularly in the tools such as Hadoop. Schema enables the loading of raw data and processing and ultimately help to interpret the data. Data sharing is important in the public data store. We in this paper applied the schema on read modelling and it will help to transfer big data and use source data. We conducted a case study in road traffic with the Hadoop Distributed File System, Apache data ware house and the query language.
Keywords: Big Data Analytics, Data Sharing, HDFS, HiveQL Schema Application of the Read Modelling using Hadoop
DOI:https://doi.org/10.6025/jdp/2021/11/1/1-6
Full_Text   PDF 340.72 KB   Download:   5  times
References:

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[5] Moniruzzaman, A. B. M., Hossain, S. A. (2013). NoSQL Database: New Era of Databases for Big data Analytics-Classification, Characteristics and Comparison, International Journal of Database Theory and Application, 6 (4) 1-14.
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[7] Capriolo, E., Wampler, D., Rutherglen, J. (2012). Programming Hive, Sebastopol, O’Reilly Media.


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