big數(shù)據(jù)Engineer數(shù)據(jù)有哪些治理誤區(qū)？對(duì)數(shù)據(jù):數(shù)據(jù)Statistics≠Big數(shù)據(jù)對(duì)數(shù)據(jù)Statistics的誤解≦。數(shù)據(jù)挖礦有哪些誤區(qū)？另外，數(shù)據(jù)statistics不等于big數(shù)據(jù)，而數(shù)據(jù)statistics和big數(shù)據(jù)的區(qū)別在于人工智能。1、2.簡答題企業(yè)在開展大數(shù)據(jù)營銷過程可能的誤區(qū)是什么,如何避免企業(yè)在營銷過程中可能存在的誤區(qū)有數(shù)據(jù)收集不完整或不準(zhǔn)確，數(shù)據(jù)分析和個(gè)性化營銷策略不足。為了避免上述誤區(qū)，企業(yè)應(yīng)采取數(shù)據(jù)全面準(zhǔn)確的收集、數(shù)據(jù)深入分析和個(gè)性化的營銷策略。1.數(shù)據(jù)集合不完整或不準(zhǔn)確。...