Workload Automa-on + Hadoop? Oh Yeah! …a Match Made in Heaven
TheMalwarebytesStory
In2004,aroundtheageof15,Marcinwastryingtodownloadavideogamefromtheinternet,likemostkids
hisage.
Indoingso,heinfectedhiscomputerwithmultiplepiecesofmalware.
Feelingletdownthathisantivirushadfailedhim,andwiththefearofbeinggrounded,hesetouttofindasolution.
Afterthreedaysofsearching,Marcinfoundagroupofindividualsonlinewhowerehelpingotherslikehimwho
hadalsobeeninfected.
Theypatientlyhelpedhimcleanhiscomputer,andtoMarcinthesepeopleweresuperheroes.
Itwasthenhebegantoteachhimselfhowtocode,andwrotetheveryfirstversionofanti-malware’sremediation
code.Hegaveitoutforfree.
LaterMarcinpartneredwithBruceHarrisontolaunchapaidforversionofhissoftwarewithalifetimelicense,for
only$25.00.
In2008theycofoundedMalwarebyteswithamissiontocreateamalware-freeexistencefortheworld.
Sincethen,Malwarebyteshasbeendownloadedover500milliontimesworldwide,andhasremovedover5billion
infections.
Today,Malwarebyteshasgrowntomorethan425
employeesin15countries,andhasofficesinCalifornia,
Florida,Ireland,andEstonia.Malwarebyteshasalso
becomeaworldleaderinremediationandmalware
prevention.
MalwarebytesisaleaderinboththeEndpoint
ProtectionPlatform(EPP)andEndpointDetectionand
Response(EDR)spaces.MarcinKleczynski ChiefExecutiveOfficer
Malwarebytes
–OurMission
“Tocreatethebestdisinfectionandprotectionsolutionstocombattheworld’s
mostharmfulthreats.”
“Everyonehasafundamentalrighttoamalware-freeexistence”
1stFastestgrowingsecurity
companyover100mrunrate
250kDownloadsperday
2.4BProtectioneventsin2015
500M+Installstodate
“Everyonehasafundamentalrighttoamalware-freeexistence”
10,000+Businessesprotected
750,000,000IThourssaved
605,000Threatsblockedperhour
28,000,000+Endpointsprotected
Data Science and Engineering @ Malwarebytes
Data Engineering Data Operations Data Science & Analytics Application Support
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Workload Automation ToolA workload automation tool is a platform that centrally manages the execution of processes across different systems. It provides a single point of control for planning, execution and monitoring of various
asynchronous applications that run in a complex and diverse environment.
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Cross Platform
Native Connectors
Centralized Control
Impact ModelingDependency Tracking
Job Monitoring
Process Scheduling
Global Policies
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Centrally control the entire data flow from jobs down to infrastructure, giving us complete control over cost, service
windows and data governance
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With Control-M we are able to implement…
• Appropriate service models to cut costs • Post-processing DQM framework • Service level agreements and notifications • Environment mirroring • Visibility into data readiness