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SAP Compete – Big Data
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SAP Compete Scenarios – Big Data

Nov 06, 2015

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SAP Compete Scenarios – Big Data
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SAP Compete Scenarios Big Data

SAP Compete Big Data

2012 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries.The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.1/15/20141Modern AppsRapidly develop business applications that reach any device, deliver mission critical performance, and easily extend to the cloud.Data InsightsUnlock insights on any data. Microsoftoffers a complete data platform that supports the entire data lifecyclefromraw data to insightswhile simplifyingdata management.

Microsoft Confidential2Sales Scenarios for Data PlatformEnterprise DataWarehouseSell comprehensive enterprise-wide data warehouse solutions, e.g., consolidation of existing data martsBig DataEnable customers to gain insights from ALLdata any source, any size, and any type, whether unstructured or structured dataBusinessIntelligenceEmpower end users with tools they need for analytics with a centrally managed BI platformOLTPOffer a memory-optimized OLTP engine integrated into SQL Server and architected to maximize the value of a range of hardware choicesFor complete details on EPG sales scenarios, visit the solution catalog at //sellsolutionsRelated Cloud OS conversation1234

2012 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries.The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.1/15/20142

Scenario: Big DataGain insights from ALL data any source, any size, and any type, whether unstructured or structured dataMicrosoft Big Data offers easy access to data of any type or size, whether its structured data in relational databases, unstructured data on Hadoop, or streaming data from gigabytes to petabytesMicrosoft Confidential3Scenario1234

2012 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries.The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.1/15/20143

Competitive AnalysisOur AssessmentWith limited memory capacity, HANA can't handle the volume big data workloads requireExtreme licensing and services fees render the solution cost prohibitive and integration with Hadoop is early stagesSAPs Big Data OfferingTheir GoalPosition HANA plus Hadoop as a platform for real-time analytics for any data source, from SAP ERP to social dataBig DataData Sources(SAP and non-SAP)BI Apps

HANAHadoopSAP LumiraBOBJMicrosoft Confidential4Scenario1234

BW Accelerator:- SAP has introduced SAP NetWeaver Business Warehouse Accelerator (BWA), which is built for speeding up queries and reports in SAP BW by leveraging in-memory technology. Unfortunately, the BWA still wasnt good enough and SAP developed HANA to replace BWA. SAP realizes that HANA isnt affordable to handle a large-scale implementation of an enterprise SAP BW deployment, so they provide two approaches to using HANA for analytics on BW. The diagram on the left represents the side-car approach where only portions of SAP BW are replicated to HANA for analysis. The diagram on the right represents the newer approach as of June 2012 where HANA is used as the native database platform for SAP BW. The idea is to use HANA for smaller BW deployments, providing a faster deployment path than using an existing BW deployment with replication. To make this second scenario work, SAP optimized the BW schema for HANA and updated the replication interface from the Business Suite applications to feed into the new schema. 2012 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries.The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.1/15/20144

Microsofts Big Data OfferingMicrosoft PositioningWell-defined Big Data story with enterprise-ready Hadoop, Microsoft HDInsightAll data: PolyBase in PDW allows developers to leverage existing SQL skills and query both structured and unstructured data using T-SQLIn-memory technologies at all stages, based on customers need Desktop, Server or CloudCost-effective in-memory: Microsofts in-memory technologies can run on any commodity hardware and can optimize by running certain data in-memory making the Microsoft solution much more cost-effective

What this Solution Looks LikeAll data sourcesMicrosoft BI AppsSQL Server Parallel Data warehouse (w Hadoop cluster)All Data SourcesMicrosoft BI AppsSQL ServerHadoop ClusterMicrosoft Confidential5Scenario1234

MICROSOFT POSITIONINGProven and strong ecosystem of applications and partnersUnlocks insights from all types of data using familiar Microsoft Office and BI toolsPolybase -Query both structured and unstructured data using T-SQLEnd-to-end in-memory capabilities optimized for analytics, streaming, caching and transactional scenariosMicrosofts in-memory technologies run on commodity hardware instead of specialized servers 2012 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries.The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.1/15/20145

6Big Data Case Study: Entergy Tracks Trillions of SCADA Records with Real-Time Data Storage SolutionBusiness ChallengeNeeded a real-time historical data storage solution to help its analysts gain a better view into large volumes of dataRequire virtually zero maintenance Provide easy, high-speed, programmatic access to the entire data store Ability to process over 2 trillion objectsKey Benefits Near real-time reporting and analyticsMassively scalable functionality, using standard off-the-shelf hardwareAble to scale a 80 terabyte database with over 20 terabytes of new data a monthEase of Database Maintenance Our internal customers are amazed by the fact that whether theyre looking at data from today or going back two years, the retrieval time seems immediate.Paul H. CassinghamManager of Application Management, EntergySee complete case study here.Microsoft Confidential

Entergy, a Fortune 500 company with 14,300 employees, produces and delivers electric power to 2.7 million customers in Arkansas, Louisiana, Mississippi, and Texas. The company has captured trillions of records from its supervisory control and data acquisition (SCADA) system and its more than 320,000 SCADA objects. To better extract value from SCADA data, the utility deployed a real-time data storage application, called Pegasus RDS, which was created by Microsoft partner Nobadeer Software, Inc. using the Microsoft Application Platform, including Microsoft SQL Server and Microsoft Visual Studio. The solution, which manages trillions of records, will soon be upgraded to SQL Server 2008. Pegasus RDS gives Entergy numerous benefits including a better view into its data which helps the utility to identify potential problems early so it can act proactively to protect its electrical grid. Server & Tools Business 2012 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries.The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.1/15/20146

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2012 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries.The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.1/15/20147

Get SupportContentTech Ready SAP Compete SessionS4 SAP Compete Session

Data Insights Conversation(http://infopedia/pages/Unlock-Insights.aspx) MigrationsDatacenter Modernizationhttp://migration Escalationshttp://CompHotEngage regional SAP SSPs [email protected] BOMhttp://SAPHANA Compete Handbook (http://infopedia/Pages/CompeteHandbooks.aspx?SourceURL=http://infopedia/Pages/New-Compete-Handbooks.aspx)EPG Solution Catalog (http://infopedia/Pages/SolutionSellingApp.aspx)Microsoft Confidential8Product InformationSQL Server 2014SQL Server 2012 Product Content//bi

2012 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries.The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.1/15/20148