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Heterogeneous Database System for Faster Data Querying using Elasticsearch

机译:异构数据库系统,用于使用Elasticsearch测定数据查询

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Nowadays data is increasing at such high rate there is need of tool which can analyze this data in equally efficient matter, as this data analysis contributes to crucial decision making while dealing with day to day business scenarios. It is quite impractical to analyze this data with traditional relational database tools. There has been new growth in technologies which increases our ability to process to this data, Hadoop and NoSQL databases are some of the names that are very popular these for the same reason. In particular, Elasticsearch is most preferred tool now a days, it is text-based search engine developed by Apache Foundation. It is near real time, highly scalable and distributed tool to search, analyze and store your data. Hybrid Database system proposes a solution to most common problem of increased data retrieval time as the size of data increases.
机译:如今数据以这样的高速增加,需要工具,可以在同等效率的物质中分析这种数据,因为这种数据分析有助于在处理日常业务场景时的关键决策。使用传统的关系数据库工具分析此数据是非常不切实际的。技术中有新的增长,这增加了我们对此数据处理的能力,Hadoop和NoSQL数据库是出于同样的原因非常流行的一些名称。特别是,Elasticsearch是最优选的工具现在是一天,它是Apache基础开发的基于文本的搜索引擎。它是近实时,高度可扩展和分布式的工具,用于搜索,分析和存储您的数据。混合数据库系统提出了在数据量大增加的情况下提高数据检索时间的最常见问题的解决方案。

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