Please use this identifier to cite or link to this item: https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/14976
Title: A Big Data Perspective of Current ETL Techniques
Authors: Phanikanth, K V
Sudarsan, Sithu D
Keywords: Big Data
Continuous Query
Data Streams
Data Warehouse
Etl
Issue Date: 2017
Publisher: Proceedings - 2016 3rd International Conference on Advances in Computing, Communication and Engineering, ICACCE 2016
Institute of Electrical and Electronics Engineers Inc.
Citation: pp. 330-334
Abstract: Dynamic data stream processing using real time ETL techniques is currently a high concern as the amount of data generated is increasing day by day with the emergence of Internet of Things, Big Data and Cloud. Data streams are characterized by huge volume that can arrive with a high velocity and in different formats from multiple sources. Therefore, real time ETL techniques should be capable of processing the data to extract value out of it by addressing the issues related to these characteristics that are associated with data streams. In this work, we asses and analyze the capability of existing ETL techniques to handle dynamic data streams and we present whether the existing techniques are relevant in the present situation. © 2016 IEEE.
URI: https://dx.doi.org/10.1109/ICACCE.2016.8073770
http://gnanaganga.inflibnet.ac.in:8080/jspui/handle/123456789/14976
ISBN: 9781509025763
9781509025770
Appears in Collections:Conference Papers

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