基于mapreduce的銷售大數(shù)據(jù)處理系統(tǒng)

1、基于基于MapReduceMapReduce的銷售大數(shù)據(jù)處理系統(tǒng)的銷售大數(shù)據(jù)處理系統(tǒng)[摘要]隨著近些年來互聯(lián)網(wǎng)的快速發(fā)展，大中小銷售企業(yè)積累了大量的銷售信息，企業(yè)有必要對這些信息加以利用，以便對未來的的營銷進(jìn)行預(yù)測。然而，目前的數(shù)據(jù)庫無法對如此大量的數(shù)據(jù)進(jìn)行有效的利用。針對這種大數(shù)據(jù)環(huán)境中數(shù)據(jù)處理的窘境，本文為某零售企業(yè)構(gòu)建了一個基于Hadoop平臺的分布式銷售大數(shù)據(jù)處理系統(tǒng)，利用平臺的MapReduce框架初步實(shí)現(xiàn)了統(tǒng)計(jì)和排序等基本功

2、能。[關(guān)鍵詞]大數(shù)據(jù)HadoopMapReduce統(tǒng)計(jì)目錄第一章引言..........................................................11.1研究論文的背景與意義.........................................11.2本文課題研究的內(nèi)容與目標(biāo).....................................1第二章開發(fā)環(huán)境及相關(guān)技術(shù)的介紹....

3、..................................22.1Hadoop簡介..................................................22.2hadoop生態(tài)系統(tǒng)..............................................22.2.1MapRedcue................................................3

4、2.2.2MapReduce工作的機(jī)制與計(jì)算模型............................32.2.3MapReduce執(zhí)行流程........................................42.3Web前端框架（SSM）..........................................42.4Hadoop在互聯(lián)網(wǎng)中的應(yīng)用.................................

5、.....5第三章需求分析......................................................63.1對功能的規(guī)定................................................63.2用例描述.....................................................73.3運(yùn)行環(huán)境規(guī)定........................

6、.........................9第四章系統(tǒng)的設(shè)計(jì)...................................................104.1Hadoop架構(gòu)設(shè)計(jì).............................................104.1.1hadoop環(huán)境搭建..........................................104.2數(shù)據(jù)處理功能的設(shè)計(jì)..

7、.......................................134.2.1數(shù)據(jù)來源選擇.............................................134.2.2數(shù)據(jù)準(zhǔn)備.................................................144.2.3數(shù)據(jù)處理................................................154.