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HadoopDB in Action: Building Real World Applications

机译:HadoopdB在行动:建立现实世界应用

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HadoopDB is a hybrid of MapReduce and DBMS technologies, designed to meet the growing demand of analyzing massive datasets on very large clusters of machines. Our previous work has shown that HadoopDB approaches parallel databases in performance and still yields the scalability and fault tolerance of MapReduce-based systems. In this demonstration, we focus on HadoopDB's flexible architecture and versatility with two real world application scenarios: a semantic web data application for protein sequence analysis and a business data warehousing application based on TPC-H. The demonstration offers a thorough walk-through of how to easily build applications on top of HadoopDB.
机译:HadoopdB是MapReduce和DBMS技术的混合动力,旨在满足在非常大的机器中分析大规模数据集的需求不断增长。我们以前的工作表明,HadoopDB在性能中接近并行数据库,仍然产生基于MapReduce的系统的可伸缩性和容错。在这次演示中,我们专注于HadoopdB的灵活架构和多功能性,具有两个现实世界应用场景:用于蛋白质序列分析的语义Web数据应用和基于TPC-H的业务数据仓库应用。演示提供了彻底的步行,如何轻松构建HadoopDB的顶部构建应用程序。

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