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World®’16
TechTalk:AnalyticsatCA–What’sCooking?ProjectJarvis
Joav Bally- VicePresident,Analytics- CATechnologies
IET03T
CAACCELERATOR
2 ©2016CA.ALLRIGHTSRESERVED.@CAWORLD#CAWORLD
©2016CA.Allrightsreserved.Alltrademarksreferencedhereinbelongtotheirrespectivecompanies.
Thecontentprovidedinthis CAWorld2016presentationisintendedforinformationalpurposesonlyanddoesnotformanytypeofwarranty. The informationprovidedbyaCApartnerand/orCAcustomerhasnotbeenreviewedforaccuracybyCA.
ForInformationalPurposesOnlyTermsofthisPresentation
3 ©2016CA.ALLRIGHTSRESERVED.@CAWORLD#CAWORLD
Abstract
Dataiseverywhere,butisyourdata“talking”you?Doesitprovideyoutheinsightsyouneedwhenyouneedthem?JoinustodiscoverCA’svisionofanalytics– ProjectJarvis.Thesessioncoverstheconcept,strategy,architectureandusecasestoenablethenextgenerationofanalyticscapabilitieswithinCA'sofferings.ThedatadrivenappsdrivenbyProjectJarvisenableourcustomerstomakebetterbusinessdecisions.LearnaboutotherCAproductsthatleverageProjectJarvistoofferenhancedanalyticscapabilities.
JoavBallyCATechnologiesVicePresident,Analytics
4 ©2016CA.ALLRIGHTSRESERVED.@CAWORLD#CAWORLD
AboutCAAccelerator
“Enterprisestartups”
CA’sinnovationengine
Visitca.com/accelerator
5 ©2016CA.ALLRIGHTSRESERVED.@CAWORLD#CAWORLD
LiftingtheBurden
DATA-DRIVENAPPLICATIONS*
ANALYTICALTOOLSandSKILLS
IN-HOUSEDATASCIENCE
IN-HOUSEDOMAINEXPERTISE
+
+
YOURBURDEN OURALTERNATIVE
*Fueledbyadvancedanalytics,algorithms,machinelearning...
6 ©2016CA.ALLRIGHTSRESERVED.@CAWORLD#CAWORLD
CAAnalyticsisaCommonTechnologyComponent
BestofBreedOpenSourceTechnologies
(Hadoop,Spark,Kafka,Elasticsearch)
IndustryProvenArchitecture
(LambdaandMicroServices)
SingleCodeLine,MultipleDeploymentOptions
(Cloud,OnPrem,Mainframe)
EncapsulatedComplexTechnologythroughSimpleConsumableInterfaces
(RESTfulAPIs)
CAAnalytics
7 ©2016CA.ALLRIGHTSRESERVED.@CAWORLD#CAWORLD
CA’sAnalyticsReferenceArchitecture
DataCollectors
DataAggregatorAgents
…
Probes
Machine/LogFileData
Data-DrivenAppsExistingCAApps
Custom-buildApps
NewCAApps
PartnerApps
AnalyticsEngine
DataIn
jectionAP
I
DataAccessA
PI
ServiceLayer
DataExtractionDataProcessing(Speed)
DataProcessing(Batch)
DataBus
ProjectJarvis
8 ©2016CA.ALLRIGHTSRESERVED.@CAWORLD#CAWORLD
ProjectJarvis– ImplementationTechnologiesforReferenceArchitecture
DataCollectors
DataAggregatorAgents
…
Probes
Machine/LogFileData
Data-DrivenAppsExistingCAApps
Custom-buildApps
NewCAApps
PartnerApps
AnalyticsEngine
DataIn
jectionAP
I
DataAccessA
PIServiceLayer
DataExtraction
DataProcessing(Speed)
DataProcessing(Batch)
DataBus
9 ©2016CA.ALLRIGHTSRESERVED.@CAWORLD#CAWORLD
Jarvis– KeyCapabilities
§ Multi-ProductandMulti-Tenant
§ BasedonLambdaArchitecture
§ InstanceLevelDataStorage
§ BatchLayerfordeepcomputation
§ Speedlayerfornear real-time computation
§ ServiceLayer forUIVisualization
§ PluggableDataScience ComputePlatform
10 ©2016CA.ALLRIGHTSRESERVED.@CAWORLD#CAWORLD
Demo
11 ©2016CA.ALLRIGHTSRESERVED.@CAWORLD#CAWORLD
“Shareachallenge”withtheexperts
AshMauryaInnovationexpertandauthorofScalingLean
CAAcceleratorZoneHighlights
*Thursday12:15– 1:30First250attendeesreceiveafree
signedcopy
Questions?
BooksigningwithAshMaurya
Stayconnectedatcommunities.ca.com
Thankyou.
13 ©2016CA.ALLRIGHTSRESERVED.@CAWORLD#CAWORLD
FormoreinformationontheCAAccelerator,pleasevisit:http://ca.com/accelerator
