Data Transformation Methodologies between Heterogeneous Data Stores - A Comparative Study

Arnab Chakrabarti; Manasi Jayapal

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Paper

Data Transformation Methodologies between Heterogeneous Data Stores - A Comparative Study

Topics: Big Data; Big Data Infrastructure; Data Science

In Proceedings of the 6th International Conference on Data Science, Technology and Applications DATA - Volume 1, 241-248, 2017 , Madrid, Spain

Authors: Arnab Chakrabarti ¹ and Manasi Jayapal ²

Affiliations: ¹ Fraunhofer Institute for Applied Information Technology FIT and RWTH Aachen University, Germany ; ² RWTH Aachen University, Germany

Keyword(s): Industrial Data Exchange, NoSQL, Hadoop, Pentaho, Talend, Apache Scoop, Cassandra.

Related Ontology Subjects/Areas/Topics: Big Data ; Data Engineering ; Data Management and Quality

Abstract: With the advent of the NoSQL Data Stores, solutions for data migration from traditional relational databases to NoSQL databases is gaining more impetus in the recent times. This is also due to the fact that data generated in recent times are more heterogeneous in nature. In current available literatures and surveys we find that in-depth study has been already conducted for the tools and platform used in handling structured, unstructured and semi-structured data, however there are no guide which compares the methodologies of transforming and transferring data between these data stores. In this paper we present an extensive comparative study where we compare and evaluate data transformation methodologies between varied data sources as well as discuss the challenges and opportunities associated with it.

CC BY-NC-ND 4.0

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Paper citation in several formats:

Chakrabarti, A. and Jayapal, M. (2017). Data Transformation Methodologies between Heterogeneous Data Stores - A Comparative Study. In Proceedings of the 6th International Conference on Data Science, Technology and Applications - DATA; ISBN 978-989-758-255-4; ISSN 2184-285X, SciTePress, pages 241-248. DOI: 10.5220/0006438802410248

@conference{data17,
author={Arnab Chakrabarti and Manasi Jayapal},
title={Data Transformation Methodologies between Heterogeneous Data Stores - A Comparative Study},
booktitle={Proceedings of the 6th International Conference on Data Science, Technology and Applications - DATA},
year={2017},
pages={241-248},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006438802410248},
isbn={978-989-758-255-4},
issn={2184-285X},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Data Science, Technology and Applications - DATA
TI - Data Transformation Methodologies between Heterogeneous Data Stores - A Comparative Study
SN - 978-989-758-255-4
IS - 2184-285X
AU - Chakrabarti, A.
AU - Jayapal, M.
PY - 2017
SP - 241
EP - 248
DO - 10.5220/0006438802410248
PB - SciTePress