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1、目录|CONTENTS1Big Data lifecycle2Big Data Processing flow3Big data lifecycle4DIKW-data，Information，Knowledge，Wisdom5Harnessing Big data OLTP:Online Transaction Processing 联机业务处理(DBMSs)OLAP:Online Analytical Processing 联机分析处理(Data Warehousing 数据仓库)RTAP:Real-Time Analytics Processing 实时分析处理(Big Data Arc
2、hitecture&technology大数据架构和技术)6Whats driving Big Data-Ad-hoc querying and reporting-Data mining techniques-Structured data,typical sources-Small to mid-size datasets-Optimizations and predictive analytics-Complex statistical analysis-All types of data,and many sources-Very large datasets-More of a re
3、al-time 7The evolution of business intelligenceBig Data:Batch Processing&Distributed Data StoreHadoop/Spark;HBase/CassandraBI ReportingOLAP&Data warehouseBusiness Objects,SAS,Informatics,Cognos other SQL Reporting ToolsInteractive Business Intelligence&In-memory RDBMSQliqView,Tableau,HANABig Data:Re
4、al Time&Single ViewGraph Databases1990s2000s2010sSpeedScaleScaleSpeed8The evolution of business intelligenceBig Data:Batch Processing&Distributed Data StoreBI ReportingOLAP&Data warehouseInteractive Business Intelligence&In-memory RDBMSBig Data:Real Time&Single View1990s2000s2010sSpeedScaleScaleSpeed9The evolution of business intelligenceBig Data:Batch Processing&（3）BI ReportingOLAP&（1）Interactive Business Intelligence&（2）Big Data:（4）1990s2000s2010sSpeedScaleScaleSpeed