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1、Unlock insights on any dataEron KellyGeneral Manager, SQL Server MarketingFDN-04銳普PPT論壇chinakui首發(fā):Cloud50%nearly half of total IT spend will be cloud-related by 2020Big data26BBy 2020, IoT will include 26B units, creating large quantities of data & generating $300B in revenue for IoT suppliersApps25
2、%one quarter of external app implementation spending will be on mobility, cloud, analytics, & social, by 2016Trends driving IT pressures & opportunitiesDevices50% More than half of information workers across 17 countries report using 3+ devices for workDevices: “Info Workers Will Erase Boundary Betw
3、een enterprise And Consumer Technologies.” Forrester Research. August 30, 2012Apps: Gartner: “Predicts 2013: Business Impact of Technology Drives the Futures Application Services Market.” Nov. 21, 2012Big data: Paraphrased from The Impact of the Internet of Things on Data Centers. Gartner Research,
4、Feb 27, 2014 Cloud: “Prepare For 2020: Transform Your IT Infrastructure And Operations Practice.” Forrester Research. Oct. 24, 2012銳普PPT論壇chinakui首發(fā):What differentiates todays thriving companies?Data.銳普PPT論壇chinakui首發(fā):Technology innovation accelerates valueComplex implementationsEnterprise data ware
5、houseSpreadmartsSiloed dataHadoopDashboardsAd hoc analysisMachine learningOLAPAny dataIn-memoryInternet of ThingsInnovationTransactional systemsETLOperational reportingValue銳普PPT論壇chinakui首發(fā):More peopleNew analyticsDiverse dataHelp customers seize their data dividendCapture a $1.6 trillion data divi
6、dend from data investments by 2017 worldwide.SpeedSource: IDC & Microsoft, April 2014$158BProductivity$486BOperations$235BInnovations$235BCustomer-facing銳普PPT論壇chinakui首發(fā):Microsofts approach delivers data dividendsMicrosoft data platformAn end-to-end platform for any data and everyone DataTransform
7、+ analyzeVisualize + decideCapture + manageBusiness questions and problemsActionable results 銳普PPT論壇chinakui首發(fā):The Microsoft data platformDataTransform + analyzeVisualize + decideCollect + manageStreamingCapture + manageRelationalInternal & externalNon-relationalNoSQL Visualize + decideMobileReports
8、AskDashboardsApplicationsComplex Event ProcessingTransform + analyzeOrchestrationPredictionQueryInformation managementDataTransform + analyzeVisualize + decideCapture + manage銳普PPT論壇chinakui首發(fā):Breakthrough In-memory performanceScale your platform quickly to meet changing demands Capture any data: st
9、ructured, unstructured, and streamingOn-premises, cloud, and appliance data sourcesDataTransform + analyzeVisualize + decideCapture + manageCapture + manageCollect and manage diverse data types with breakthrough speedacross a data continuum銳普PPT論壇chinakui首發(fā):SQL Server 2014 breakthrough in-memoryNo n
10、eed to rewrite existing appsUse the hardware you have todayFaster apps & insightsUp to 30XOLTP performance gainsUp to 100XFaster star join queries90%Disk space savingsIn-memory built into core engineUses industry-standard hardwareBest-of-breed in-memory by workload 銳普PPT論壇chinakui首發(fā):DEMO Breakthroug
11、h In-memory performance銳普PPT論壇chinakui首發(fā):STAN ORLOWSKIDIRECTOR OF DATABASE STRUCTURESNASDAQ OMX“Data is the lifeblood of our company.“Compressed data by 75%, saving 500TB of disk spaceReduced query time from days to hoursCut storage footprint by 50%銳普PPT論壇chinakui首發(fā):SQL Server 2014 built-in hybrid t
12、echnologies Built with AzureSQL Server pre-built Azure VMsHybrid AlwaysOn with Azure VMsBackup to Azure StorageIntegrated backup to AzureSimplified & globally backed DREasy deployment to Azurefrom an enterprise-grade cloud銳普PPT論壇chinakui首發(fā):Right data, right service , no tradeoffsApp scale without hi
13、ring additional staffNear-zero administrationEnterprise-grade capabilitiesAzure Data Services for Modern App Design WebsitesSQL databaseDocumentDBSearch TablesDBHDInsightRelational and NoSQL database optionsKey value and blob storageSophisticated search experiencesEnterprise-cloud data protection銳普P
14、PT論壇chinakui首發(fā):DEMO Data services for the modern appPablo CastroPartner ArchitectMicrosoft銳普PPT論壇chinakui首發(fā):John SchlesingerChief Enterprise ArchitectTEMENOS, SWITZERLAND“Meets strict security and compliance requirements.”With T24 on Azure, Temenos can more easily grow in emerging marketsAzure provi
15、des deployment agility not found in on-premises applicationsOn-demand scalability enables T24 customers to meet close-of-business deadlines 銳普PPT論壇chinakui首發(fā):The Microsoft data platformTransform + analyzeVisualize + decideMobileReportsAskDashboardsApplicationsStreamingCollect + manageRelationalInter
16、nal & externalNon-relationalNoSQL DataTransform + analyzeVisualize + decideCapture + manageStreamingCapture + manageRelationalInternal & externalNon-relationalNoSQL Complex Event ProcessingTransform + analyzeOrchestrationPredictionQueryInformation managementComplex Event ProcessingTransform + analyz
17、eOrchestrationPredictionQueryInformation management銳普PPT論壇chinakui首發(fā):Transform + analyzeConnect, combine, and orchestrate any dataUnleash complex real-time event processingBuild and test predictive modelsSupported by on-premises, cloud, and appliance data sourcesTransform and analyze data for anyone
18、 to access anywhereDataTransform + analyzeVisualize + decideCapture + manage銳普PPT論壇chinakui首發(fā):Analytics Platform System for Big DataTurnkey Big Data applianceLinear scale-out to PBs of data Up to 100 x performance increasePre-built and performance-tunedMPP design and In-memory columnstoreDedicated H
19、adoop regionPolyBase for single query across all dataHadoopRelationalSelect.Results setPolyBaseNon-relationalMPP SQL Server銳普PPT論壇chinakui首發(fā):Announcing: Azure Stream AnalyticsReal-time stream processing Near infinite cloud scaleManaged real-time analyticsMission-critical reliability and scaleRapid d
20、evelopmentPoint of Service DevicesSelf CheckoutStationsKiosksSmart PhonesSlates/TabletsPCs/LaptopsServersDigital SignsDiagnosticEquipmentRemote Medical MonitorsLogicControllersSpecializedDevicesThin ClientsHandheldsSecurityPOS TerminalsAutomationDevicesVendingMachinesKinectATMStream Analytics銳普PPT論壇
21、chinakui首發(fā):Announcing Azure Data FactoryConnect & collectCompose and orchestrate data services at scalePublish for analyticsManage from a single pane of glassSet data production policy Identify and debug errors No SQLDBBlobC#MapReduceTrusted dataBI & analyticsHivePigStored ProceduresVM銳普PPT論壇chinaku
22、i首發(fā):Microsoft Azure Machine LearningWorkspaceML StudioStorage spaceDataDesktop filesExcel spreadsheetOther data filesHDInsightSQL Server VMSQL DatabaseDocumentDBBlobs & tablesCloudLocalResults & iterationsDevicesApplicationsDashboardsMicrosoft Azure PortalPublish in minutesWebAzure Machine LearningT
23、he power of machine learning to predict future trends or behaviorBusiness valueDeploymentModelingBusiness problemData factory銳普PPT論壇chinakui首發(fā):DEMO Real-time analytics and machine learningSanjay SoniSr. Technical Product Marketing ManagerMicrosoft銳普PPT論壇chinakui首發(fā):Final Retail Demo ArchitectureStrea
24、m AnalyticsManaged near real-time stream processing and analytics at cloud scaleRapid development and mission critical reliabilityPower BISelf service analytics for all your dataData discovery and natural language exploration to enable data cultureAzure Data FactoryCompose and orchestrate data servi
25、ces at scaleManage data from a single pane of glassEvent / Data producersWeb logsIn-Store Activity Social DataAzure MLFully-managed cloud service to bring you agile & accessible, predictive analytics Azure market place one-stop shop for Premium Data and Applications IngestEventHubsIntelligent System
26、s Services TransformStream AnalyticsStream AnalyticsBatch AnalyticsAzure Data Factory Long-term storageAzure SQL Database & Azure Storage (blobs)Predictive AnalyticsAzure Machine LearningPresentation and actionVisualizationsand insightsWeb dashboardsMobile devices銳普PPT論壇chinakui首發(fā):MICHAEL GILBERTCHI
27、EF TECHNOLOGY OFFICERTRANSPORT OF LONDON“Our challenge is to get information to people in a way that helps them make their journeys better, faster, and less stressful”Built on Azure, supports a growing 2.3 million hits per dayReal-time data feeds support data-driven applications to relieve traffic c
28、ongestionAvoided building a new physical IT infrastructure, saving millions of 銳普PPT論壇chinakui首發(fā):Visualize + decideMobileReportsAskDashboardsApplicationsComplex Event ProcessingTransform + analyzeOrchestrationPredictionQueryInformation managementStreamingCapture + manageRelationalInternal & external
29、Non-relationalNoSQL The Microsoft data platformTransform + analyzeDataTransform + analyzeVisualize + decideCapture + manageComplex Event ProcessingTransform + analyzeOrchestrationPredictionQueryInformation managementVisualize + decideMobileReportsAskDashboardsApplications銳普PPT論壇chinakui首發(fā):Visualize
30、+ decideDiscover, explore, and combine any data type or size, regardless of locationAsk questions of data to visualize, analyze, and forecastMake faster decisions, share broadly, and access insights on any deviceDataTransform + analyzeVisualize + decideCapture + manage銳普PPT論壇chinakui首發(fā):1 in 4 enterp
31、rise customers on Office 365AskAccessShareQ&APower BI for collaboration& new experiencesExcel as the BI tool for everyone1 Billion Microsoft Office usersAnalyzeVisualizeDiscoverScalable, Manageable, Trusted銳普PPT論壇chinakui首發(fā):DEMO Unlock insights with advanced visualizationsSanjay SoniSr. Technical Pr
32、oduct Marketing ManagerMicrosoft銳普PPT論壇chinakui首發(fā):Bruce RiochHead of Business Information and Customer SystemsMETRO BANK, UNITED KINGDOMDashboards to give executives and colleagues highly visual, at-a-glance statistics on mobile app engagementUses Power BI to drive millions of transactions into bala
33、nce sheets and profit-and-loss statementsExecutives and colleagues can view and collaborate on BI data with Power BI “BI thats as Fast, Friendly, and Reliable as the Bank Itself.銳普PPT論壇chinakui首發(fā):Visualize + decideMobileReportsAskDashboardsApplicationsComplex Event ProcessingTransform + analyzeOrchestrationPredictionQueryInformation managementStreamingCapture + manageRelationalInternal & externalNon-relationalNoSQL Anal
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