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!1017 add the origin of openLooKeng name in website page
Merge pull request !1017 from xudezhi/master
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hetu-docs/en/overview/_index.md

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# Overview
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The word LooKeng in openLooKeng is taken from the English name of Loo-keng Hua, a famous Chinese mathematician. LooKeng also sound similar to the word "Looking", which means querying and analyzing various data, make big data easier.
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openLooKeng is a drop in engine which enables in-situ analytics on any data, anywhere, including geographically remote data sources. It provides a global view of all of your data via its SQL 2003 interface. With high availability, auto-scaling, built-in caching and indexing support, openLooKeng is ready for enterprise workload with required reliability.
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The goal of openLooKeng is to support data exploration, ad hoc queries, and batch processing with near real time latency ranging from 100+ms to minutes, without moving your data around. openLooKeng also supports hierarchical deployment enabling geographically remote openLooKeng clusters to participate in the same query. With its cross region query plan optimization capability, queries involving remote data can achieve close to "local" performance.

hetu-docs/zh/overview/_index.md

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# 概述
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openLooKeng的LooKeng取自中国著名数据家华罗庚先生的英文名Loo-keng Hua。同时LooKeng的发音也与Looking相近,寓意查询分析各种数据,让大数据更简单。
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openLooKeng是一种"开箱即用"的引擎,支持在任何地点(包括地理上的远程数据源)对任何数据进行原位分析。它通过SQL 2003接口提供了所有数据的全局视图。openLooKeng具有高可用性、自动伸缩、内置缓存和索引支持,为企业工作负载提供了所需的可靠性。
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openLooKeng用于支持数据探索、即席查询和批处理,具有100+毫秒至分钟级的近实时时延,而无需移动数据。openLooKeng还支持层次化部署,使地理上远程的openLooKeng集群能够参与相同的查询。利用其跨区域查询计划优化能力,涉及远程数据的查询可以达到接近“本地”的性能。

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