大數(shù)據(jù)解決方案

大數(shù)據(jù)解決方案大數(shù)據(jù)解決方案議程大數(shù)據(jù)的一些疑問(wèn)大數(shù)據(jù)采集大數(shù)據(jù)處理大數(shù)據(jù)展現(xiàn)大數(shù)據(jù)解決方案

-大數(shù)據(jù)的一些疑問(wèn)怎么從大數(shù)據(jù)得到價(jià)值？你想從大數(shù)據(jù)里得到什么？多大的數(shù)據(jù)才是大數(shù)據(jù)？多大的數(shù)據(jù)才是大數(shù)據(jù)？

數(shù)據(jù)發(fā)展趨勢(shì)

BIGDATAAudio/VideoLogFilesText/ImageSocialSentimentDataMarketFeedseGovFeedsWeatherWikis/BlogsClickStreamSensors/RFID/DevicesSpatial&GPSCoordinatesWEB2.0MobileAdvertisingCollaborationeCommerceDigitalMarketing

SearchMarketingWebLogsRecommendationsERP/CRMSalesPipelinePayablesPayrollInventoryContactsDealTrackingTerabytes(10E12)Gigabytes(10E9)Exabytes(10E18)Petabytes(10E15)復(fù)雜性：種類和速度數(shù)據(jù)量主要趨勢(shì)

數(shù)據(jù)來(lái)源<$100/TB(100xcheaperin10yrs)價(jià)格低廉的存儲(chǔ)10MIPS/$in1980to10MMIPS/$in2005價(jià)格低廉的計(jì)算>5.5BillionSubscribersWW(70+%ofpopulation)設(shè)備爆炸>2BillionConnectedPeople社交網(wǎng)絡(luò)WebTrafficupfrom130Exabyte(10E18)in2010to1.6ZettaByte(10E21)in2015無(wú)處不在的連接>10BillionConnectedSensors傳感器網(wǎng)絡(luò)2.大數(shù)據(jù)采集你想從大數(shù)據(jù)里得到什么？

一系列新問(wèn)題社交網(wǎng)絡(luò)和互聯(lián)網(wǎng)分析我的品牌或產(chǎn)品情緒實(shí)時(shí)數(shù)據(jù)源如何優(yōu)化我的車隊(duì)運(yùn)行(基于天氣和交通趨勢(shì)）高級(jí)分析功能如何更好預(yù)測(cè)未來(lái)結(jié)果？數(shù)據(jù)整合帶來(lái)的價(jià)值個(gè)人數(shù)據(jù)組織數(shù)據(jù)社區(qū)數(shù)據(jù)世界數(shù)據(jù)價(jià)值采集任何種類、大小、來(lái)源數(shù)據(jù)

Streaming

Non-Relational010101010101010101101010101010101001010101010101101010101010Relational數(shù)據(jù)科學(xué)家商業(yè)智能專業(yè)人員業(yè)務(wù)分析人員豐富數(shù)據(jù)來(lái)源

數(shù)據(jù)集市GlobalreachUnifiedbilling&provisioningplatformEasycontentonboardingDatasecurity/authorizationmodelFlexiblepricing,auditing,logging內(nèi)容提供商ContentProvidersConsistent,flexible,contextoptimizedAPIs-ODataSingleContract–OneStopshopfordataEasyaccesstopremiumdataUnifiedbillingandprovisioningplatform獨(dú)立軟件開(kāi)發(fā)商及開(kāi)發(fā)者ISVsandDevsEasyofDiscoveryandRichAppstoConsumeDataMicrosoftOffice,Dynamics,Bing+3rdpartyISVApplicationsAbilitytomashuppublicandprivatedataFlexiblepricing–payasyougo信息工作者InformationWorkers端到端的大數(shù)據(jù)生命周期DataUploadServiceStreamInsightSQLServer增強(qiáng)

可視化10101MudPulseRotationTemperatureAzureEquipmentOperationsMaintenanceWindowsHQLDedicatedHadoopClusterColdStreamHDFSDataNodeHDFSDataNodeHDFSDataNodeHDFSDataNodeHDFSDataNodeHDFSDataNodeHDFSDataNodeHDFSDataNodeHDFSHotStreamE=MC2HQLLearnedLimitsSQL戰(zhàn)略/趨勢(shì)分析存儲(chǔ)&管理洞察價(jià)值操作/實(shí)時(shí)分析端到端的大數(shù)據(jù)解決方案洞察力

INSIGHTS數(shù)據(jù)管理DATAMANAGEMENTNON-RELATIONAL100111RELATIONALSTREAMING豐富數(shù)據(jù)DATAENRICHMENTSHAREANDGOVERNDISCOVERANDRECOMMENDTRANSFORMANDCLEANSELF-SERVICECOLLABORATIVEMOBILEREAL-TIME微軟大數(shù)據(jù)產(chǎn)品洞察力

INSIGHTS數(shù)據(jù)管理DATAMANAGEMENT豐富數(shù)據(jù)DATAENRICHMENTPowerPivotPowerViewHadooponWindows3.大數(shù)據(jù)處理Hadoop=BigData?HADOOP集成Non-RelationalHadoop-baseddistributiononpremisesHadoop-basedserviceinthecloud企業(yè)級(jí)安全，高可靠性，管理與微軟商業(yè)智能工具無(wú)縫集成SQLServer數(shù)據(jù)平臺(tái)的一部分在WindowsAzure上幾分鐘內(nèi)完成部署SQLServer2012ParallelDataWarehouse

軟硬件整合優(yōu)化的并行數(shù)據(jù)倉(cāng)庫(kù)一體機(jī)

從TB到PB的高可擴(kuò)展性平臺(tái)使用MPP架構(gòu)實(shí)現(xiàn)卓越的可擴(kuò)展性硬件廠商的選擇通過(guò)使用遵循行業(yè)標(biāo)準(zhǔn)的硬件降低成本與Microsoft商業(yè)智能工具的深度集成充分利用最新軟件技術(shù)

WindowsServer2012StorageSpacesWindowsServer2012Hyper-VSQLServer2012xVelocity列存儲(chǔ)SQLServer2012ParallelDataWarehouse為大數(shù)據(jù)而建新一代的性能和規(guī)模洞察任意大小的數(shù)據(jù)最優(yōu)化的軟硬件價(jià)值開(kāi)放和靈活與ApacheHadoop100%兼容工具由豐富的合作伙伴生態(tài)系統(tǒng)提供與社區(qū)的緊密合作AcceleratingthedeliveryofHadoopforWindowsHadoopforWindowsJavaScriptlibrariesHiveODBCdriversTheApacheSoftwareFoundation當(dāng)前大數(shù)據(jù)分析的挑戰(zhàn)：

大量新技術(shù)需要學(xué)習(xí)掌握、周期長(zhǎng)、見(jiàn)效緩慢數(shù)據(jù)倉(cāng)庫(kù)學(xué)習(xí)MapReduce需要IT人員提前手動(dòng)將數(shù)據(jù)從HDFS導(dǎo)入數(shù)據(jù)倉(cāng)庫(kù)或集市，才可進(jìn)行分析HDFS(Hadoop)HDFS(Hadoop)DatabaseHDFS(Hadoop)SQLServer2012PDWPoweredbyPolyBasePolyBase：數(shù)據(jù)處理的突破性技術(shù)SQL

統(tǒng)一查詢，結(jié)構(gòu)化和非結(jié)構(gòu)化數(shù)據(jù)查詢關(guān)聯(lián)Hadoop表和關(guān)系型數(shù)據(jù)庫(kù)表采用標(biāo)準(zhǔn)SQL語(yǔ)言Select,FromWhere沿用現(xiàn)有SQL技能無(wú)需IT人員介入節(jié)省時(shí)間和成本分析多樣的數(shù)據(jù)類型企業(yè)數(shù)據(jù)及商業(yè)智能平臺(tái)的進(jìn)化

-當(dāng)前結(jié)構(gòu)化數(shù)據(jù)源結(jié)構(gòu)化數(shù)據(jù)源結(jié)構(gòu)化數(shù)據(jù)源ODS數(shù)據(jù)集市多維度存儲(chǔ)分析應(yīng)用其他存儲(chǔ)使用DW企業(yè)數(shù)據(jù)及商業(yè)智能平臺(tái)的進(jìn)化

-未來(lái)大數(shù)據(jù)存儲(chǔ)結(jié)構(gòu)化數(shù)據(jù)源非結(jié)構(gòu)