Towards effective social network system implementation

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 are 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 the reasons behind the selection and usage of such systems in terms of choosing the right architecture and data storage. We describe effective approach to developing specific parts of social Network systems with special attention to data layer (using Hadoop, HBase and Apache Cassandra), which forms the foundation of Any social network system and is highly demanding for performance and scalability.