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Getting Started Newsletters Store Products Services & Support About SCN Downloads Industries Training & Education Partnership Developer Center Lines of Business University Alliances Events & Webinars Innovation Log On Join Us Hi, Guest Search the Community Activity Communications Actions Browse SAP HANA Developer Center 0 Tweet 5 As a technology advisor to the startups at SAP Startup Focus Program, I have the opportunities to work with the innovative startups from all different kinds of areas. SAP Startup Focus is a 12month global program for startups with big data, predictive analytics and/or realtime data decision solutions. We make SAP HANA available to the startup community, help eligible startups accelerate the development of their solutions. We also help the startups with validated HANA solution accelerate market traction. I’m from the second phase of the program that we call Development Accelerator, in which phase we are helping startups to build the Minimum Viable Product(MVP) within 1year period of free technical supports. As a handson person of the team, my job is to help the startups solve all different kinds of technical problems, advise architecture designs. I also own the technical thoughts and creations of technical contents for startup educations, the team I am with have done many prototyping workshops(a 1day classroom training) to train the engineers from startups. We have trained many startups all over the world. I had studied some existing educational content, thanks to SAP product and development teams in creating the amazing SAP HANA Interactive Education (SHINE), it will be a solid start for new developers to SAP HANA. Click the link to learn more about SHINE. The reason we found that we cannot just reuse SHINE is because of the diversity of the startups, many of them aren’t in the area of the enterprise world and it is hard for them to understand the data model of SAP EPM system. Besides, startups want to have something fun so I decided to create something interesting and more close to the mindset of startups. We have used these contents to train many startups, the feedbacks we received that they are very much enjoyed that I decide to share it with you through a series of blogs and this is the first blog that in which I will cover the overview. Ok. Let’s get started. I do want to tell you that I have evaluated many open datasets that include twitter you may have seen in my another blog, LinkedIn data and some other dataset, eventually CrunchBase data stands itself out because it is so close to what I want. For those who don’t know CrunchBase data yet, the simple description is it is the dataset about Startups, Investors, Competitors, Fundings and Acquisitions that you can imagine it is very close of the startups’ daily life. Data Model CrunchBase is a free database of technology companies and startups operated by TechCrunch, which comprises around 500,000 data points profiling companies, people, investors, fundings and acquisitions. Below is the number of points for each entity type in CrunchBase: CrunchBase itself don’t compare the companies and there is no option to aggregate and calculate even discover the relationships between the various datasets, by loading the data into a inmemory database like SAP HANA and utilize the data modeling tool or embedded analysis algorithms, some very interesting SAP HANA Self Learning as Never Before(Part 1) the first lesson for startups to learn HANA Posted by Eric Du in SAP HANA Developer Center on Apr 16, 2015 11:56:55 PM Share 6 0 Like

SAP HANA Self Learning as Never Before(Part 1)

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  • 4/19/2015 SAPHANASelfLearningasNeverBefore(Part1)...|SCN

    http://scn.sap.com/community/developercenter/hana/blog/2015/04/16/saphanaselflearningasneverbeforepart1thefirstlessonforstartupstolearnhana 1/5

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    AsatechnologyadvisortothestartupsatSAPStartupFocusProgram,Ihavetheopportunitiestoworkwiththeinnovativestartupsfromalldifferentkindsofareas.SAPStartupFocusisa12monthglobalprogramforstartupswithbigdata,predictiveanalyticsand/orrealtimedatadecisionsolutions.WemakeSAPHANAavailabletothestartupcommunity,helpeligiblestartupsacceleratethedevelopmentoftheirsolutions.WealsohelpthestartupswithvalidatedHANAsolutionacceleratemarkettraction.

    ImfromthesecondphaseoftheprogramthatwecallDevelopmentAccelerator,inwhichphasewearehelpingstartupstobuildtheMinimumViableProduct(MVP)within1yearperiodoffreetechnicalsupports.Asahandsonpersonoftheteam,myjobistohelpthestartupssolvealldifferentkindsoftechnicalproblems,advisearchitecturedesigns.Ialsoownthetechnicalthoughtsandcreationsoftechnicalcontentsforstartupeducations,theteamIamwithhavedonemanyprototypingworkshops(a1dayclassroomtraining)totraintheengineersfromstartups.Wehavetrainedmanystartupsallovertheworld.

    Ihadstudiedsomeexistingeducationalcontent,thankstoSAPproductanddevelopmentteamsincreatingtheamazingSAPHANAInteractiveEducation(SHINE),itwillbeasolidstartfornewdeveloperstoSAPHANA.ClickthelinktolearnmoreaboutSHINE.

    ThereasonwefoundthatwecannotjustreuseSHINEisbecauseofthediversityofthestartups,manyofthemarentintheareaoftheenterpriseworldanditishardforthemtounderstandthedatamodelofSAPEPMsystem.Besides,startupswanttohavesomethingfunsoIdecidedtocreatesomethinginterestingandmoreclosetothemindsetofstartups.Wehaveusedthesecontentstotrainmanystartups,thefeedbackswereceivedthattheyareverymuchenjoyedthatIdecidetoshareitwithyouthroughaseriesofblogsandthisisthefirstblogthatinwhichIwillcovertheoverview.

    Ok.Letsgetstarted.IdowanttotellyouthatIhaveevaluatedmanyopendatasetsthatincludetwitteryoumayhaveseeninmyanotherblog,LinkedIndataandsomeotherdataset,eventuallyCrunchBasedatastandsitselfoutbecauseitissoclosetowhatIwant.ForthosewhodontknowCrunchBasedatayet,thesimpledescriptionisitisthedatasetaboutStartups,Investors,Competitors,FundingsandAcquisitionsthatyoucanimagineitisverycloseofthestartupsdailylife.

    DataModel

    CrunchBaseisafreedatabaseoftechnologycompaniesandstartupsoperatedbyTechCrunch,whichcomprisesaround500,000datapointsprofilingcompanies,people,investors,fundingsandacquisitions.BelowisthenumberofpointsforeachentitytypeinCrunchBase:

    CrunchBaseitselfdontcomparethecompaniesandthereisnooptiontoaggregateandcalculateevendiscovertherelationshipsbetweenthevariousdatasets,byloadingthedataintoainmemorydatabaselikeSAPHANAandutilizethedatamodelingtoolorembeddedanalysisalgorithms,someveryinteresting

    SAPHANASelfLearningasNeverBefore(Part1)thefirstlessonforstartupstolearnHANAPostedbyEricDuinSAPHANADeveloperCenteronApr16,201511:56:55PM

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  • 4/19/2015 SAPHANASelfLearningasNeverBefore(Part1)...|SCN

    http://scn.sap.com/community/developercenter/hana/blog/2015/04/16/saphanaselflearningasneverbeforepart1thefirstlessonforstartupstolearnhana 2/5

    questionslikebelowcanbeansweredinrealtime:

    Whatkindofcompanieshavemoreopportunitiestobeinvestedoracquired?Whatarethelikablecompetitorsofacompany?Whatisthelocationdistributionofcompanieshadreceivedinvestmentsover3rounds?WhataretheshortestoraveragetimetoIPO?

    Thediagrambelowshowstheentityrelationships.Foreachcompany,itcanhavezerotomultiplefundingrounds,acquisitions,IPOs,personsworkorhadworkedforthecompany,competitionsaswellasoffices.Thefinancialorganizationsareusuallytheventurecapitalists.

    Youcanthinktherearemanywaystousethedatatofindtheinsightsbehindstartupsandinvestorscommunity.ButdontforgotourmissionhereistouseittodemonstrateHANAcapabilities,herearesomeexamples:

    Modeling:InvestmenthistorymodeltoaggregateallthefundingrecordsofeachfinancialorganizationSQLScriptProcedures:Defineproprietaryalgorithmstocalculatestartupranksbasedonthefundings,competitionlandscapeanalysisTextAnalysis:ExtractsentimentresultsofcompanyrelatedinformationPredictiveAnalysis:InvestorclusteringGeospatialAnalysis:FundingandacquisitionlocationdistributionsVisualization:UsingSAPUI5forMobile,CVOMchartstoshowfunding,acquisitionrecordsXSEngine(OData&XSJS):DeclareODataservicesorXSJSservicesfordataexposuretoUIlayer

    Applications

    Ok,nowletstakealooktheapplicationsIhavebeencreated.

    1.StartupProfile,Ranking,FundingVisualization.IsTwitterstillastartup,maybeIshoulduseanothercompanyasanexample

  • 4/19/2015 SAPHANASelfLearningasNeverBefore(Part1)...|SCN

    http://scn.sap.com/community/developercenter/hana/blog/2015/04/16/saphanaselflearningasneverbeforepart1thefirstlessonforstartupstolearnhana 3/5

    2.CompetitionAnalysis,algorithmsimplementedinSQLScripttofindoutthecompetitors

    3.GlobalStartupFundingHeatmap,useSAPHANAGeospatialEngineandGoogleMapsastheclient

    4.InvestorClusteringbyKmeans,useSAPHANAPredictiveAnalysisLibrary

  • 4/19/2015 SAPHANASelfLearningasNeverBefore(Part1)...|SCN

    http://scn.sap.com/community/developercenter/hana/blog/2015/04/16/saphanaselflearningasneverbeforepart1thefirstlessonforstartupstolearnhana 4/5

    5.CompanySentimentRatings,useSAPHANATextAnalysis

    6.DiscoverStartupsandInvestors,usemostofSAPHANAPlatformfeatures

    InvestorProfilePage

  • 4/19/2015 SAPHANASelfLearningasNeverBefore(Part1)...|SCN

    http://scn.sap.com/community/developercenter/hana/blog/2015/04/16/saphanaselflearningasneverbeforepart1thefirstlessonforstartupstolearnhana 5/5

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