Hadoop - Big Data Solutions for the Tourism Network Collaboration

Hadoop - Big Data Solutions for the Tourism Network Collaboration

The tourism network collaboration has undergone accelerated changes, driven by the emerging hyperconnected operating systems that are increasingly relying on digitalization. Furthermore, the explosive growth of digital data communications in synergistic operating networks, tourism networks collaboration systems face the challenges of extracting, processing, and analyzing data from multiple distributed web sources. Web data storage and retrieval via the predefined schema of structured databases has become increasingly inefficient with the advent of Big Data (varies in representation from structured to semi-structured and unstructured formats). In response to this problem, the Hadoop Ecosystem System is being adopted to reduce the complexity of moving data to and from the Big Data cloud computing service. This paper proposes a novel approach in a set of the Hadoop tools for information integration and interoperability in enterprise collaboration system. A case study is conducted to illustrate that the Hadoop - Big Data solutions could be adopted to achieve the cooperative optimization of tourism networks.