数仓经典销售案例，包括ETL脚本，项目完整详细需求、设计文档及模型加载，推荐。

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详细介绍大数据趋势与发展、大数据处理技术、运营商与大数据、大数据应用场景、华为大数据及数据挖掘解决方案

Win10不需要Cygwin搭建大数据测试环境搭建hive的bin文件（包含官方版本中缺少的cmd文件），完美解决windows环境下配置hive时，找不到hive命令问题

全套视频，从java到hadoop，到spark，到R，

详细阐述升级的全过程及需要备份的目录与方法ClouderaManager及CDH从5.4.8升级到5.12.1全过程&安装Spark2.2全过程

BeyondSpreadsheetswithRshowsyouhowtotakerawdataandtransformitforuseincomputations,tables,graphs,andmore.You’llbuildonsimpleprogrammingtechniqueslikeloopsandconditionalstocreateyourowncustomfunctions.You’llcomeawaywithatoolkitofstrategiesforanalyzingandvisualizingdataofallsortsusingRandRStudio.Spreadsheetsarepowerfultoolsformanytasks,butifyouneedtointerpret,interrogate,andpresentdata,theycanfeellikethewrongtoolsforthetask.That’swhenRprogrammingisthewaytogo.TheRprogramminglanguageprovidesacomfortableenvironmenttoproperlyhandlealltypesofdata.AndwithintheopensourceRStudiodevelopmentsuite,youhaveatyourfingertipseasy-to-usewaystosimplifycomplexmanipulationsandcreatereproducibleprocessesforanalysisandreporting.WithBeyondSpreadsheetswithRyou’lllearnhowtogofromrawdatatomeaningfulinsightsusingRandRStudio.Eachcarefullycraftedchaptercoversauniquewaytowrangledata,fromunderstandingindividualvaluestointeractingwithcomplexcollectionsofdata,includingdatayouscrapefromtheweb.You’llbuildonsimpleprogrammingtechniqueslikeloopsandconditionalstocreateyourowncustomfunctions.You’llcomeawaywithatoolkitofstrategiesforanalyzingandvisualizingdataofallsorts.What’sinsideHowtostartprogrammingwithRandRStudioUnderstandingandimplementingimportantRstructuresandoperatorsInstallingandworkingwithRpackagesTidying,refining,andplottingyourdata

基于种子点8-邻域的区间生长算法的Matlab实现

该算法属于SSA奇异谱分析，里面详细介绍了奇异谱分析的代码流程，并附有中文注释，中文注释对SSA奇异谱分析的原理给予了一定阐述，对读懂代码大有益处。

色谱相似度分析