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MapReduce服務(wù) MRS

五種集群支持多種應(yīng)用場(chǎng)景

Hadoop分析集群
Doris集群
ClickHouse集群

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HBase集群
StarRocks集群

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為什么選擇華為云MapReduce服務(wù) MRS

存算分離架構(gòu)

計(jì)算和存儲(chǔ)分離，統(tǒng)一數(shù)據(jù)湖，消除數(shù)據(jù)孤島，一份數(shù)據(jù)，無需多次拷貝，多種計(jì)算引擎，存儲(chǔ)和計(jì)算資源靈活配比，各自按需擴(kuò)縮，性價(jià)比領(lǐng)先業(yè)界30%。

極致性能體驗(yàn)

通過結(jié)合硬件、數(shù)據(jù)組織、計(jì)算引擎、AI智能調(diào)優(yōu)四級(jí)垂直優(yōu)化，全棧式性能加速，同時(shí)具備百萬規(guī)模元數(shù)據(jù)毫秒級(jí)響應(yīng)，為用戶提供極致性能體驗(yàn)。

領(lǐng)先開源技術(shù)

主流引擎Spark、Hive、Flink等深度改造，擁有索引、緩存、元數(shù)據(jù)等關(guān)鍵技術(shù)；自研Superior調(diào)度突破單集群20000節(jié)點(diǎn)+。

高安全高可用

支持單集群跨AZ高可用，無單點(diǎn)故障，滾動(dòng)補(bǔ)丁/升級(jí)，任務(wù)斷鏈重連，業(yè)務(wù)0中斷；具備網(wǎng)絡(luò)資源隔離、賬號(hào)安全、數(shù)據(jù)安全管控等多級(jí)安全保障能力。

覆蓋海量應(yīng)用場(chǎng)景，滿足不同業(yè)務(wù)的大數(shù)據(jù)處理需求

大數(shù)據(jù)上云
互聯(lián)網(wǎng)行業(yè)
車聯(lián)網(wǎng)行業(yè)
金融保險(xiǎn)
智慧物流
智慧水務(wù)
游戲行業(yè)
能源行業(yè)

大數(shù)據(jù)上云

線下大數(shù)據(jù)平臺(tái)遷移上云

快速將自建大數(shù)據(jù)平臺(tái)（IDC、CDH、Hortonworks等）平滑搬遷上云或?qū)⑵渌髷?shù)據(jù)云服務(wù)平臺(tái)平滑遷移至MRS，將客戶業(yè)務(wù)和數(shù)據(jù)一次性搬遷到云上大數(shù)據(jù)服務(wù)MRS中，并基于云上環(huán)境快速構(gòu)建云下系統(tǒng)，滿足客戶未來業(yè)務(wù)快速增長需求。

優(yōu)勢(shì)

計(jì)算存儲(chǔ)分離

MRS具備計(jì)算存儲(chǔ)分離的先進(jìn)架構(gòu)，鯤鵬加持，多核高性價(jià)比。

靈活彈性伸縮

資源靈活配比，可以選擇多種計(jì)算和存儲(chǔ)資源進(jìn)行組合，按需自動(dòng)彈性伸縮，大大降低上云成本。

完全兼容開源

100%兼容開源生態(tài)接口，存算分離數(shù)據(jù)遷移，支持屏蔽OBS接口，業(yè)務(wù)無感知，客戶業(yè)務(wù)代碼“0”改動(dòng)。

搬遷簡(jiǎn)單快速

搬遷工具齊全，簡(jiǎn)單快速完成無業(yè)務(wù)中斷遷移方案。

場(chǎng)景適用服務(wù)

MapReduce服務(wù) MRS

對(duì)象存儲(chǔ)服務(wù) OBS

云數(shù)據(jù)遷移 CDM

互聯(lián)網(wǎng)行業(yè)

互聯(lián)網(wǎng)行業(yè)的業(yè)務(wù)需求快速膨脹，數(shù)據(jù)量爆發(fā)，導(dǎo)致自建大數(shù)據(jù)平臺(tái)面臨著無法快速擴(kuò)容、數(shù)據(jù)利用率低及運(yùn)維成本高等問題，MRS提供“存算分離+鯤鵬”云化大數(shù)據(jù)平臺(tái)，為用戶構(gòu)筑下一代高性價(jià)比互聯(lián)網(wǎng)新平臺(tái)

優(yōu)勢(shì)

架構(gòu)創(chuàng)新，高性價(jià)比、數(shù)據(jù)靈活共享

存算分離：業(yè)務(wù)數(shù)據(jù)分離、引擎級(jí)元數(shù)據(jù)分離

- 異構(gòu)算力：鯤鵬+x86，裸金屬/虛機(jī)/容器

計(jì)算引擎源于開源，高于開源

主流引擎和開源深度互動(dòng)：hadoop、spark、hive等主流引擎同接口，引擎內(nèi)核深度優(yōu)化提升x倍性能

-差異化能力貢獻(xiàn)社區(qū)：CarbonData，海量數(shù)據(jù)毫秒級(jí)點(diǎn)查，數(shù)據(jù)分鐘級(jí)更新，填補(bǔ)社區(qū)技術(shù)空白；Hetu，統(tǒng)一SQL、跨源跨域查詢

核心能力提升

軟硬結(jié)合等垂直協(xié)同優(yōu)化-高可用：首個(gè)支持單集群跨AZ的大數(shù)據(jù)服務(wù)

場(chǎng)景適用服務(wù)

MapReduce服務(wù) MRS

對(duì)象存儲(chǔ)服務(wù) OBS

車聯(lián)網(wǎng)行業(yè)

車聯(lián)網(wǎng)

基于開源生態(tài)，提供快速高效數(shù)據(jù)處理計(jì)算引擎，幫助車聯(lián)網(wǎng)企業(yè)快速上云，靈活構(gòu)建開放、統(tǒng)一、全棧式的數(shù)據(jù)分析大數(shù)據(jù)平臺(tái)

優(yōu)勢(shì)

統(tǒng)一全棧式大數(shù)據(jù)平臺(tái)，靈活彈性

MRS具備企業(yè)級(jí)大數(shù)據(jù)的平臺(tái)能力，計(jì)算和存儲(chǔ)分離，靈活方便，省事又省心

擁有多引擎混合負(fù)載處理能力

MRS提供了豐富的開源組件，靈活搭配，滿足客戶實(shí)時(shí)、離線等混合復(fù)雜業(yè)務(wù)處理訴求

高性能，低成本

可以通過MRS Kafka和Storm實(shí)時(shí)獲取流數(shù)據(jù)，實(shí)現(xiàn)高吞吐量、低延時(shí)的實(shí)時(shí)計(jì)算、分析能力

兼容開源標(biāo)準(zhǔn)接口

MRS基于開源，擁抱開源，完全兼容開源Apache Hadoop生態(tài)API

場(chǎng)景適用服務(wù)

MapReduce服務(wù) MRS

云數(shù)據(jù)庫 RDS for MySQL

對(duì)象存儲(chǔ)服務(wù) OBS

金融保險(xiǎn)

利用專屬云MRS大數(shù)據(jù)的優(yōu)勢(shì)，滿足保險(xiǎn)業(yè)在合規(guī)、安全、可靠等方面的需求，重構(gòu)傳統(tǒng)保險(xiǎn)企業(yè)的IT架構(gòu)，快速構(gòu)建和部署保險(xiǎn)業(yè)務(wù)系統(tǒng)，幫助保險(xiǎn)企業(yè)快速實(shí)現(xiàn)數(shù)字化轉(zhuǎn)型，輕松實(shí)現(xiàn)業(yè)務(wù)創(chuàng)新和業(yè)務(wù)的敏捷演進(jìn)

優(yōu)勢(shì)

安全可信

保護(hù)客戶敏感數(shù)據(jù)安全

資源專屬

專屬M(fèi)RS集群，資源獨(dú)享，計(jì)算、存儲(chǔ)物理資源隔離

創(chuàng)建靈活，全棧技術(shù)，簡(jiǎn)單運(yùn)維

一鍵式靈活創(chuàng)建全棧式大數(shù)據(jù)平臺(tái)，提供企業(yè)級(jí)平臺(tái)管理界面，運(yùn)維簡(jiǎn)單

場(chǎng)景適用服務(wù)

MapReduce服務(wù) MRS

分布式緩存服務(wù)Redis版

對(duì)象存儲(chǔ)服務(wù) OBS

智慧物流

依靠MRS大數(shù)據(jù)分析平臺(tái)，實(shí)現(xiàn)物流各環(huán)節(jié)的智能管理，提高業(yè)務(wù)運(yùn)營效率，大大的降低成本

優(yōu)勢(shì)

高吞吐、低時(shí)延

提供專屬M(fèi)RS Kafka集群，具備高吞吐、高可用、低延遲的數(shù)據(jù)接入能力，實(shí)現(xiàn)百萬級(jí)消息實(shí)時(shí)接入

海量數(shù)據(jù)分析處理

利用MRS Spark，支持海量數(shù)據(jù)計(jì)算處理，選擇MRS HBase可以實(shí)現(xiàn)物流數(shù)據(jù)毫秒級(jí)實(shí)時(shí)入庫更新，并支持百萬級(jí)時(shí)序數(shù)據(jù)查詢分析

搭載AI，更智能

MRS搭載AI技術(shù)，可以直接對(duì)大數(shù)據(jù)進(jìn)行價(jià)值挖掘，為物流組織、市場(chǎng)營銷、經(jīng)營管理提供更加精準(zhǔn)、智能化的預(yù)測(cè)分析

場(chǎng)景適用服務(wù)

MapReduce服務(wù) MRS

云數(shù)據(jù)倉庫GaussDB(DWS)

云數(shù)據(jù)庫 RDS for MySQL

AI平臺(tái)ModelArts

智慧水務(wù)

以大數(shù)據(jù)云服務(wù)MRS-Hadoop為核心，構(gòu)建高性能、高可靠的統(tǒng)一大數(shù)據(jù)存儲(chǔ)分析平臺(tái)

優(yōu)勢(shì)

統(tǒng)一數(shù)據(jù)平臺(tái)，靈活彈性

使用MRS服務(wù)搭建，具備企業(yè)級(jí)大數(shù)據(jù)的平臺(tái)能力，并提供了豐富的開源組件，靈活搭配，同時(shí)滿足客戶實(shí)時(shí)/離線等混合復(fù)雜業(yè)務(wù)處理訴求

高吞吐、低延時(shí)

可以通過Storm從Kafka獲取實(shí)時(shí)流數(shù)據(jù)，實(shí)現(xiàn)高吞吐量、低延時(shí)的實(shí)時(shí)計(jì)算、分析能力

支持多類型數(shù)據(jù)融合

同時(shí)支持各種結(jié)構(gòu)化/半結(jié)構(gòu)化/非結(jié)構(gòu)化數(shù)據(jù)計(jì)算處理，輕松遷移傳統(tǒng)數(shù)倉數(shù)據(jù)，實(shí)現(xiàn)跨源數(shù)據(jù)探索分析

場(chǎng)景適用服務(wù)

MapReduce服務(wù) MRS

對(duì)象存儲(chǔ)服務(wù) OBS

云數(shù)據(jù)庫 RDS for MySQL

游戲行業(yè)

游戲

游戲日志數(shù)據(jù)通過Kafka/Flume實(shí)時(shí)接入，利用SparkStreaming實(shí)時(shí)處理分析，入庫存儲(chǔ)到HBase/Hive，快速實(shí)現(xiàn)游戲廣告分析、數(shù)據(jù)查詢分析、營收分析等業(yè)務(wù)

優(yōu)勢(shì)

統(tǒng)一平臺(tái)，靈活彈性

MRS具備企業(yè)級(jí)大數(shù)據(jù)的平臺(tái)能力，提供了豐富的大數(shù)據(jù)組件，用戶可以靈活搭配，同時(shí)滿足實(shí)時(shí)/離線等復(fù)雜業(yè)務(wù)處理訴求

高實(shí)時(shí)、高吞吐

利用MRS Kafka/Flume完成實(shí)時(shí)數(shù)據(jù)采集，搭載網(wǎng)絡(luò)增強(qiáng)型C3ne高性能服務(wù)器，實(shí)現(xiàn)海量數(shù)據(jù)實(shí)時(shí)接入

場(chǎng)景適用服務(wù)

MapReduce服務(wù) MRS

對(duì)象存儲(chǔ)服務(wù) OBS

云數(shù)據(jù)庫 RDS for MySQL

彈性負(fù)載均衡 ELB

能源行業(yè)

能源

為光伏電站運(yùn)營商提供企業(yè)級(jí)大數(shù)據(jù)云服務(wù)，輕松運(yùn)行Hadoop、Spark、Hbase、Storm等大數(shù)據(jù)組件，實(shí)現(xiàn)設(shè)備的預(yù)測(cè)性維護(hù)

優(yōu)勢(shì)

統(tǒng)一大數(shù)據(jù)平臺(tái)

使用MRS服務(wù)搭建，具備企業(yè)級(jí)大數(shù)據(jù)的平臺(tái)能力，并提供了豐富的大數(shù)據(jù)組件，靈活搭配，同時(shí)滿足客戶實(shí)時(shí)/離線等混合復(fù)雜業(yè)務(wù)處理訴求

海量數(shù)據(jù)采集

利用MRS Kafka/Sqoop實(shí)現(xiàn)多種數(shù)據(jù)采集方式，實(shí)現(xiàn)百萬級(jí)消息實(shí)時(shí)接入

簡(jiǎn)單易用

基于多維數(shù)據(jù)，支持SQL接口查詢，輕松實(shí)現(xiàn)數(shù)據(jù)探索分析

場(chǎng)景適用服務(wù)

MapReduce服務(wù) MRS

對(duì)象存儲(chǔ)服務(wù) OBS

云數(shù)據(jù)遷移 CDM

云數(shù)據(jù)庫 RDS for MySQL

精心打造的功能

一站式融合平臺(tái)

提供Doris、Kafka、Flink、Spark、HBase、ClickHouse、Presto等全棧大數(shù)據(jù)引擎，支持?jǐn)?shù)據(jù)湖，數(shù)倉、BI、AI融合，助力客戶走向融合的一站式大數(shù)據(jù)平臺(tái)

一鍵式平臺(tái)搬遷

100%兼容開源大數(shù)據(jù)生態(tài)，提供一鍵式搬遷工具，能夠幫助客戶快速完成自建平臺(tái)的平滑遷移，整個(gè)遷移過程可做到“代碼0修改，業(yè)務(wù)0中斷”

資源靈活彈性伸縮

資源靈活配比，可以選擇鯤鵬/x86不同配比的Flavor規(guī)格，集群異構(gòu)混合部署，峰谷任務(wù)靈活配置策略，自動(dòng)彈性伸縮，百節(jié)點(diǎn)分鐘級(jí)發(fā)放，大大降低TCO

企業(yè)級(jí)駕駛艙管理

可視化的企業(yè)級(jí)集群管理系統(tǒng)，精細(xì)化集群監(jiān)控告警，支持在線變更配置和集群補(bǔ)丁更新，保障業(yè)務(wù)不中斷，日志在線檢索，支持多集群統(tǒng)一管理

攜手?jǐn)?shù)萬客戶持續(xù)業(yè)務(wù)創(chuàng)新

客戶案例

美圖蘑菇街招商銀行 T3出行

支撐美圖大數(shù)據(jù)業(yè)務(wù)高效服務(wù)全球20億+用戶

FusionInsight智能數(shù)據(jù)湖存算分離架構(gòu)，讓計(jì)算和存儲(chǔ)按需靈活獨(dú)立擴(kuò)展，用EC算法替代Hadoop大數(shù)據(jù)3副本模式，使用一份數(shù)據(jù)支持多種分析計(jì)算，資源利用率提升40%，綜合成本下降30%

了解詳情

滿足了蘑菇街對(duì) IT 資源建設(shè)、運(yùn)維、快速創(chuàng)新的訴求

將蘑菇街Spark大數(shù)據(jù)、機(jī)器學(xué)習(xí)的業(yè)務(wù)特點(diǎn)與華為云云原生高性能計(jì)算的優(yōu)勢(shì)相結(jié)合，對(duì)平臺(tái)進(jìn)行了全面升級(jí)，不僅大幅提升了數(shù)據(jù)分析、AI訓(xùn)練的效率，也優(yōu)化了現(xiàn)有運(yùn)維模式，提升了運(yùn)維效率

了解詳情

助力招商銀行為用戶提供更加按需實(shí)時(shí)的在線自助服務(wù)

華為云FusionInsight大數(shù)據(jù)平臺(tái)已經(jīng)在招商銀行的業(yè)務(wù)創(chuàng)新中產(chǎn)生了顯著的影響，目前招商銀行理財(cái)產(chǎn)品推介短信量和過去相比下降82%，卻可以全面覆蓋有效購買用戶

了解詳情

支撐T3 出行Lakehouse 整體技術(shù)架構(gòu)的存算分離

T3出行Lakehouse 整體技術(shù)架構(gòu)的特點(diǎn)就是存算分離，基于開源的Hudi 框架，使得它能夠同時(shí)支撐BI 和AI 的場(chǎng)景，目前我們托管于華為云FusionInsight 智能數(shù)據(jù)湖之上

了解詳情

權(quán)威機(jī)構(gòu)的廣泛認(rèn)可

大數(shù)據(jù)行業(yè)優(yōu)秀解決方案獎(jiǎng)

在2021（第六屆）大數(shù)據(jù)產(chǎn)業(yè)生態(tài)大會(huì)上，組委會(huì)權(quán)威揭曉華為FusionInsight智能數(shù)據(jù)湖獲得大數(shù)據(jù)最佳解決方案獎(jiǎng)，是業(yè)界對(duì)華為云在大數(shù)據(jù)領(lǐng)域持續(xù)技術(shù)創(chuàng)新的肯定。

數(shù)博會(huì)領(lǐng)先科技成果“優(yōu)秀項(xiàng)目”獎(jiǎng)

2022數(shù)博會(huì)領(lǐng)先科技成果優(yōu)秀項(xiàng)目獎(jiǎng)?lì)C發(fā)給華為云FusionInsight MRS。數(shù)博會(huì)由國家發(fā)改委、工業(yè)和信息化部等權(quán)威機(jī)構(gòu)聯(lián)合主辦，充分證明了業(yè)界對(duì)華為云數(shù)據(jù)領(lǐng)域技術(shù)創(chuàng)新的認(rèn)可。

中國大數(shù)據(jù)平臺(tái)市場(chǎng)份額 No.1

據(jù)全球領(lǐng)先的IT研究和咨詢公司國際數(shù)據(jù)公司IDC發(fā)布的《中國大數(shù)據(jù)平臺(tái)市場(chǎng)份額，2022》顯示，華為云位居中國大數(shù)據(jù)平臺(tái)整體市場(chǎng)第一，這也是華為云第三次獲得該市場(chǎng)第一。

文檔與學(xué)習(xí)成長

新手入門

新手入門

安裝并使用集群客戶端

快速使用Kerberos認(rèn)證集群

從零開始使用Hadoop

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最佳實(shí)踐

最佳實(shí)踐

數(shù)據(jù)分析最佳實(shí)踐

數(shù)據(jù)遷移最佳實(shí)踐

系統(tǒng)對(duì)接最佳實(shí)踐

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常見問題

常見問題

如何使用MRS？

MRS支持什么類型的分布式存儲(chǔ)？

數(shù)據(jù)存儲(chǔ)在OBS和HDFS有什么區(qū)別？

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MapReduce服務(wù) MRS

MapReduce服務(wù) MRS

30萬+節(jié)點(diǎn)

1萬+商用案例

單集群2.1萬節(jié)點(diǎn)

雙領(lǐng)先

五種集群支持多種應(yīng)用場(chǎng)景

五種集群支持多種應(yīng)用場(chǎng)景

為什么選擇華為云MapReduce服務(wù) MRS

存算分離架構(gòu)

極致性能體驗(yàn)

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