sprint's data modernization journey
TRANSCRIPT
1 ©HortonworksInc.2011–2017.AllRightsReserved
SPRINT’SDATAMODERNIZATIONJOURNEYNovember30,2017
2 ©HortonworksInc.2011–2017.AllRightsReserved2 ©HortonworksInc.2011–2017.AllRightsReserved
3©2016 Sprint. Thisinformation issubject toSprint policies regarding use andisthe property ofSprint and/or its relevant affiliates andmaycontain restricted, confidential orprivilegedmaterialsintended forthesoleuseoftheintended recipient. Anyreview,use,distribution ordisclosure isprohibited without authorization.
10.1.2016Version 1.1DSB
Sprint’s Data Modernization JourneyPutting a foundational framework for empowering AnalyticsNovember 30, 2017
4©2016 Sprint. Thisinformation issubject toSprint policies regarding use andisthe property ofSprint and/or its relevant affiliates andmaycontain restricted, confidential orprivilegedmaterialsintended forthesoleuseoftheintended recipient. Anyreview,use,distribution ordisclosure isprohibited without authorization.
10.1.2016Version 1.1DSB
About Sprint
Sprintisoneofthelargesttelecomservices providers intheUSwithbusinessoperationsacrossmultiplecountriesofferingitsresidentialandcommercial
customersavarietyofcommunicationandmediaservices.
MultipleCountries-US,Mexico,Caribbean
Wireless,Internet,Prepaid,Wired
ServiceOfferings-B2B,B2C
60MSubscriberBase
5©2016 Sprint. Thisinformation issubject toSprint policies regarding use andisthe property ofSprint and/or its relevant affiliates andmaycontain restricted, confidential orprivilegedmaterialsintended forthesoleuseoftheintended recipient. Anyreview,use,distribution ordisclosure isprohibited without authorization.
10.1.2016Version 1.1DSB
Our Modernization Demand Drivers
ParadigmShiftinCustomerUsage– DatanowoutpacesVoiceusageenormously
DataExplosion– Moredataoriginatingfromall
directionsandnewtypes
IncreasedAppetiteforAnalytics– CostSavings,
BetterCustomerExperience
Wewereexperiencing aparadigmshiftinhowthedatalandscapewasevolvingandourfocuswasonhowwecanharnessthewealthofdata to
betterserveourcustomersandimproveourbusinessoperations.
6©2016 Sprint. Thisinformation issubject toSprint policies regarding use andisthe property ofSprint and/or its relevant affiliates andmaycontain restricted, confidential orprivilegedmaterialsintended forthesoleuseoftheintended recipient. Anyreview,use,distribution ordisclosure isprohibited without authorization.
10.1.2016Version 1.1DSB
Our Modernization Goals
Ourdatamodernizationgoalswerefocusedonbusiness imperatives inordertoprovidearicher,personalized customerexperience, improvebusiness
operationsandgainbettervisibility intoourCustomers.
Frauddetection– Expandeddatasetsandimprovedata
availability
Improvevisibilitytogainbetterinsightsandmaketimelybusinessdecisions
360DegreeViewofCustomer– betterwaystoserveandreducechurn
7©2016 Sprint. Thisinformation issubject toSprint policies regarding use andisthe property ofSprint and/or its relevant affiliates andmaycontain restricted, confidential orprivilegedmaterialsintended forthesoleuseoftheintended recipient. Anyreview,use,distribution ordisclosure isprohibited without authorization.
10.1.2016Version 1.1DSB
Iterative Approach to Modernization
Wetookaniterativeapproach towardsmodernization inordertoensureourjourneyhadmeaningfulandachievable targets.
Buildfoundationalframeworkwithanevolvingandscalable
architecture
Reducedataredundancybyconsolidatingdatapoints
andimprovedataavailability
Spendlesstimeonlift&transformandmoreon
Analytics
CoreFoundation DataConsolidation EmpowerAnalytics
8©2016 Sprint. Thisinformation issubject toSprint policies regarding use andisthe property ofSprint and/or its relevant affiliates andmaycontain restricted, confidential orprivilegedmaterialsintended forthesoleuseoftheintended recipient. Anyreview,use,distribution ordisclosure isprohibited without authorization.
10.1.2016Version 1.1DSB
Tips for Modernization
• Analysis and scoping• Big data is not just volume but also more compute and analytics• Scalable hardware which can be improved for more compute when required• Network throughputs or improve bandwidth for large data volumes
• Prepare and plan • Technology and Business Teams Adoption• Plan real-time architecture ahead instead of rearchitecting later
• Communicate and manage expectations
Thinkbig,startsmall,movefast.
10©2017DiyottaInc.AllRightsReserved.
Webinar:DataModernizationPlanBig,StartSmallandMoveFast
November30,2017
©2017DiyottaInc.AllRightsReserved.
What’sDrivingModernizationForYou?
ExpandedDataSets
Gettingaccesstothedatawhichwasnotaccessiblebefore
BetterComputing
Transformingdatainthemostoptimizedcomputeengine
DataAvailability
Gettingaccesstoactionabledataatthe
righttimetoact
AdvancedAnalytics
Gaininginsightsforbetterbusiness
decisionsinreal-time
CloudStrategy
Cloudbasedsources,computeincloudordatalakeincloud
ModernDataArchitectures
Moredatasources
Moreprocessingzones
Moredownstreamorconsumerapplications
Emergingtechnologies
Multipledevelopmentpatterns
WhatMattersforDataModernization
• TimetoValue• DataLatency• DataConsumption• Cost
Technology• Performance• Scalability• Maintainability• EvolvingTechnologiesEnablement
Business
ModernDataStrategyConsiderations
InvestinbuildingacoreArchitecturalFramework
withmoderndatasolutions
Leverageexistingteamstowardsbuildingin-houseexpertisefor
moderntechnologies
Augmentteamswithdomainexpertisetoleverageindustryperspective
DiyottaEnablesModernDataIntegration
ProvisiondataforAdvancedAnalytics
Acquiredatafromalldatapointsinbatchor
real-time
Chooseanycomputezonesfordataprocessing
Server-lessETLarchitecturewithnobottlenecks
Resources
DiyottaSolutionPage:http://www.diyotta.com/solutions
ModernDataIntegrationWhitepaper:https://www.diyotta.com/modern-data-integration-white-paper/
RequestDemo:http://www.diyotta.com/demo
DiyottaTestDrive:http://www.diyotta.com/try
PietLoubserVPProductandSolutionsMarketingHortonworks
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TheNewWayofBusinessIsFueledByConnectedData
• ConnectedCustomers,Vehicles,Devices
• Sociallycrowd-sourcedrequirements
• Digitaldesignandanalysis
• Digitalprototypesandtests(simulations)
• ConnectedFactories,Sensors,Devices
• Human-roboticinteraction
• 3D-printingondemand
• ConnectedTrucks,Inventory
• Location,traffic,weather-awaredistribution
• Real-timeinventoryvisibility
• Dynamicrerouting
• ConnectedCustomers,Devices
• Omni- channeldemandsensing
• Real-TimeRecommendations
• ConnectedAssets• Remoteservicemonitoring&delivery
• Predictivemaintenance
• OTAUpdates
Development Manufacturing Distribution Marketing/Sales Service
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ModernDataArchitecture
Telemetry–ConnectedDevices
Time–SeriesHistorian
MachineLearning
C LOUD Sensors,SCADA,
ControlSystems
EdgeAnalytics
ExceptionsthatDrivePredictiveMaintenance
360ViewofOperations,Equipment
FailureAnalytics,etc.
DeepHistoricalAnalysis
DATA C E N T E R
StreamAnalytics
Cyber&Threat Data
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ManyorganizationsstruggletounderstandthedifferencebetweenBigDataandBigBI
BigBusinessIntelligencevs.BigData
BigBI DATA BigData
§ Sameanalysisasbefore, justmoredata
§ Batchorwarehouse-typeprocessing
§ Informative,butnot reallyactionable
§ Joiningdatasetsneverbeforejoined, askingquestionsneverbeforeasked
§ Real-timeornearreal-time,leading topredictive/persuasive/preventive
§ Ability toextractthevalueofdataandquickly translateintoaction– ”DataAgility”
§ Action-oriented, driving“ActionattheSpeedofInsight”ManyapplytraditionalreportingmethodstoBigData&Advanced
Analyticsresultinginmissedopportunitiesandlimitedfinancialreturn
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22 ©HortonworksInc.2011– 2017. AllRightsReserved
EDWOptimization patterns:3UseCases
• ActiveArchiving
• ETLOffloading
• DataEnrichment
ANAL
YTICS
DataMarts
BusinessAnalytics
Visualization&Dashboards
DATASYSTEMS
SystemsofRecord
RDBMS
ERP
CRM
Other
23 ©HortonworksInc.2011– 2017. AllRightsReserved
EDWPlusHortonworksDataPlatform(poweredbyApacheHadoop)OptimizeandReduceCosts
Archive Cold Data away from EDW• MovecoldorrarelyuseddatatoHadoop
asactivearchive• Storemoreofyourdatalonger,cheaper• Greaterhistoricalanalysis
Offload costly ETL process• FreeyourEDWtoperformhigh-valuefunctionslike
analytics&reporting,notETL
• UseHadoopforadvancedormassive-scaleETL/ELT
ANAL
YTICS
DATASYSTEMS
DataMarts
BusinessAnalytics
Visualization&Dashboards
SystemsofRecord
RDBMS
ERP
CRM
Other
ELT
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ColdData,DeeperArchive&NewSources
EnterpriseDataWarehouse
Hot
DataScience
OLAPonHadoop
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EDWPlusHortonworksDataPlatformandHortonworksDataFlowLandandEnrichmoredatatorespondfastertonewbusinessrequests
Archive Cold Data away from EDW• MovecoldorrarelyuseddatatoHadoop
asactivearchive• Storemoreofyourdatalonger,cheaper• Greaterhistoricalanalysis
Offload costly ETL process• FreeyourEDWtoperformhigh-valuefunctionslike
analytics&reporting,notETL• UseHadoopforadvancedormassive-scaleETL/ELT
Land & Enrich more data to create more value-add analytics
• UseHadooptoingestnewdatasources,suchaswebandmachinedatafornewanalyticalcontextfromunstructuredandsemi-structuredsources
• Createananalyticalsandbox foradvanceddatascience
ANAL
YTICS
DATASYSTEMS
DataMarts
BusinessAnalytics
Visualization&Dashboards
SystemsofRecord
RDBMS
ERP
CRM
Other
ELT
°
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°
°
°
°
°
°
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°
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N
ColdData,DeeperArchive&NewSources
EnterpriseDataWarehouse
Hot
DataScience
OLAPonHadoop
Clickstream Web&Social Geolocation Sensor&Machine
ServerLogs
Unstructured
NEW
SOUR
CES
Ingest Stream Events
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AdvantagesofLeveragingtheHortonworksSolutions
DeeperandBroaderDataSets
CompleteDataGovernance&Security
RichandOpenAnalyticTools
Non-structuredandStructureddata
LowerTotalCostofOwnership
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M A X I M U M C O M M U N I T Y I N N O V A T I O N
T H E I N N O V A T I O N A D V A N T A G E
P R O P R I E T A R Y H A D O O P
T I M E
INN
OV
AT
ION
Innovationhappensbestnotinisolationbutincollaboration
OPENCOMMUNITY
OurFoundingBelief
27 ©HortonworksInc.2011–2016.AllRightsReserved
M A X I M U M C O M M U N I T Y I N N O V A T I O N
T H E I N N O V A T I O N A D V A N T A G E
P R O P R I E T A R Y H A D O O P
T I M E
INN
OV
AT
ION
Innovationhappensbestnotinisolationbutincollaboration
OPENCOMMUNITY
OurFoundingBelief
UnmatchedEconomicsEnablecosteffectivedata-centerandcloudarchitectures
MinimalVendorandIntegrationRiskspreventsvendorlock-inandspeedsecosystemadoptionofODPi-compliantcore
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ThankYou