大數(shù)據(jù)采集與清洗

1、數(shù)據(jù)收集和清理，2019|02|15，主惡，大數(shù)據(jù)處理過程是什么，大數(shù)據(jù)收集的主要特征，大數(shù)據(jù)收集的概念，大數(shù)據(jù)收集應(yīng)用程序，1，什么是大數(shù)據(jù)，Taobao建議2018年政府工作報(bào)告重點(diǎn)是實(shí)施大數(shù)據(jù)開發(fā)行動(dòng)，通過網(wǎng)絡(luò)、大數(shù)據(jù)等提高監(jiān)管效率，國(guó)務(wù)院發(fā)布了促進(jìn)大數(shù)據(jù)開發(fā)的行動(dòng)綱領(lǐng)，推進(jìn)了19大數(shù)據(jù)戰(zhàn)略，與實(shí)物經(jīng)濟(jì)的深度集成，產(chǎn)業(yè)現(xiàn)狀和前景，2019年人民社會(huì)部，15個(gè)新工作，1 . 大數(shù)據(jù)工程技術(shù)人員2。云計(jì)算工程技術(shù)人員3。人工智能工程技術(shù)人員4。物聯(lián)網(wǎng)工程技術(shù)人員5。大數(shù)據(jù)是什么，大數(shù)據(jù)使用現(xiàn)有和常用的軟件技術(shù)和工具獲取、管理、處理失敗的數(shù)據(jù)集，大數(shù)據(jù)的主要特征，大數(shù)據(jù)的主要特征，卷，velo

2、city，variety，veracy，是指較大的卷、較大的數(shù)據(jù)卷，數(shù)據(jù)量呈持續(xù)增長(zhǎng)的趨勢(shì)?！翱焖佟?Velocity)是指創(chuàng)建和移動(dòng)數(shù)據(jù)的速度。表示不同類別(Variety)、不同數(shù)據(jù)源、數(shù)據(jù)類別和格式的數(shù)據(jù)。Value、低價(jià)值密度意味著數(shù)據(jù)中有意義的信息不會(huì)隨著數(shù)據(jù)量的增加而相應(yīng)增加。3、大型數(shù)據(jù)處理過程、大型數(shù)據(jù)處理過程、數(shù)據(jù)預(yù)處理是將收集的數(shù)據(jù)從各種數(shù)據(jù)庫(kù)導(dǎo)入大型分布式數(shù)據(jù)庫(kù)(當(dāng)前主要是hfds或hive)，并同時(shí)執(zhí)行一些簡(jiǎn)單的清理和預(yù)處理操作。數(shù)據(jù)統(tǒng)計(jì)分析是對(duì)上述完成的大型分布式數(shù)據(jù)庫(kù)中存儲(chǔ)的數(shù)據(jù)進(jìn)行分類的統(tǒng)計(jì)，滿足了典型方案的分析需要。數(shù)據(jù)挖掘是基于多種算法的數(shù)據(jù)分析和計(jì)算，提供了

3、實(shí)現(xiàn)高水平數(shù)據(jù)分析要求的預(yù)測(cè)效果。數(shù)據(jù)收集是使用各種數(shù)據(jù)庫(kù)(關(guān)系數(shù)據(jù)庫(kù)、無SQL數(shù)據(jù)庫(kù))存儲(chǔ)來自各種源的數(shù)據(jù)。數(shù)據(jù)演示是分析上述結(jié)果或生成報(bào)告。大數(shù)據(jù)收集的概念、大數(shù)據(jù)收集的概念、3、大數(shù)據(jù)收集技術(shù)方法大數(shù)據(jù)收集技術(shù)是通過執(zhí)行ETL操作來提取、轉(zhuǎn)換、加載數(shù)據(jù)，最終挖掘數(shù)據(jù)的潛在價(jià)值。ETL表示Extract-Transform-Load，即提取、轉(zhuǎn)換和加載。提取-從各種數(shù)據(jù)源導(dǎo)入數(shù)據(jù)轉(zhuǎn)換-將源數(shù)據(jù)轉(zhuǎn)換為需求格式并將目標(biāo)數(shù)據(jù)加載到數(shù)據(jù)倉(cāng)庫(kù)中-將目標(biāo)數(shù)據(jù)加載到數(shù)據(jù)倉(cāng)庫(kù)中，2，收集數(shù)據(jù)和收集大量數(shù)據(jù)之間的區(qū)別收集現(xiàn)有數(shù)據(jù)：源單一，數(shù)據(jù)量相當(dāng)??；結(jié)構(gòu)單一。關(guān)系數(shù)據(jù)庫(kù)和并行數(shù)據(jù)庫(kù)海量數(shù)據(jù)的數(shù)據(jù)收集：來源

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