Abstract
In this paper we present our latest research in the area of social network system implementation. Both business and technological aspects of social network system development is considered. There are many tools, languages and methods for developing large-size software systems and architectures represented by social network systems. However, no research has been done yet to uncover reason behind the selection and usage of such systems in terms of choosing the right architecture and data storage.We describe effective approach of developing specific parts of social network systems with special attention to data layer (using Hadoop, HBase and Apache Cassandra) which forms basis of any social network system and is highly demanding for performance and scalability.
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© 2013 Springer-Verlag Berlin Heidelberg
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Škrabálek, J., Kunc, P., Nguyen, F., Pitner, T. (2013). Towards Effective Social Network System Implementation. In: Pechenizkiy, M., Wojciechowski, M. (eds) New Trends in Databases and Information Systems. Advances in Intelligent Systems and Computing, vol 185. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32518-2_31
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DOI: https://doi.org/10.1007/978-3-642-32518-2_31
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-32517-5
Online ISBN: 978-3-642-32518-2
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