sap hana self learning as never before(part 1)
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SAP HANA Self LearningTRANSCRIPT
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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
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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
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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
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4/19/2015 SAPHANASelfLearningasNeverBefore(Part1)...|SCN
http://scn.sap.com/community/developercenter/hana/blog/2015/04/16/saphanaselflearningasneverbeforepart1thefirstlessonforstartupstolearnhana 5/5
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555Views Topics:databaseTags:hana,startup,hana_native_development,startupfocus,crunchbase
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