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Big data solution for Sri Lankan development: A case study from travel and tourism

机译:Sri Lankan开发的大数据解决方案:旅游与旅游的案例研究

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In this paper, the key aim is to provide conceptual, technical solution design to implement a supportive dashboard which integrates with Big Data indicators and online transaction processing (OLTP) systems. The proposed solution is mainly focusing on a case study of Travel and Tourism industry in Sri Lanka. We carried out in-depth analysis to identify the necessity of a dashboard and examine significant challenges need to consider when designing the solution. Moreover, we evaluate suitable big data technologies for implementation and Hadoop, Hbase, MapReduce has been proposed. Centralized repository for user Meta data, Contextual Search, Early Warning Alerts, Index Indicators, Analytic tool and Reports, Marketing campaign optimization, Link with social media features, Sales and marketing forecasting are main dashboard features that has been designed based on the requirements. Our results attest importance of Index indicators, one of the major functionality which is built-in to dashboard. In this work, we present a detailed analysis of a total efficiency index using four indexing strategies of varying complexity including Visit Index, Wealth Index, Health Index, and Lifestyle Index. We conclude by designing an open architecture, that can track and leverage data on the behavior of tourist via a dashboard which consider trends, to make better decisions, reduce risks and drive personal tourist experiences.
机译:在本文中,关键目标是提供概念技术解决方案设计,实现支持性仪表板,该仪表板与大数据指示器和在线交易处理(OLTP)系统集成。拟议的解决方案主要集中在斯里兰卡旅游和旅游业的案例研究。我们深入分析,以确定仪表板的必要性,并检查设计解决方案时需要考虑的重大挑战。此外,我们已经评估了实施和Hadoop,HBase,MapReduce的合适的大数据技术。用于用户元数据的集中存储库,上下文搜索,预警警报,索引指标,分析工具和报告,营销活动优化,与社交媒体功能,销售和营销预测的链接是根据要求设计的主要仪表板功能。我们的结果证明了索引指标的重要性,其中一个主要的功能是仪表板的一个主要功能。在这项工作中,我们对使用不同复杂性的四个指数策略进行了详细分析,包括访问指数,财富指数,健康指数和生活索引。我们通过设计开放式建筑来结束,可以通过考虑趋势的仪表板跟踪和利用旅游行为的数据,以提高决策,降低风险,驱动个人旅游体验。

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