5 Keys to "Productionizing" Big Data
Post on 26-Jan-2015
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5 Ways ToMake Big Data
Production-Ready#BigDataMgmt
Production-ready big data =Big data deployment that is prepared for delivery into a production IT environment.
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5 Things to Keep in Mindto help big data realize its full operational potential:
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Are your big data initiatives aligned with stakeholder
requirements?
1
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Stakeholders have clearly specified expectations, use cases, applications and priorities for your big data initiative.
YOUR BIG DATA PLATFORM IS PRODUCTION-READY IF:
Know the Expectations
Know theApplications
Know the Prioritizations
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Have you hardened your big data technology stack to address all possible SLAs?
2
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Your platform meets the availability, security and other requirements expected
of most enterprise infrastructure.
YOUR BIG DATA PLATFORM IS PRODUCTION-READY IF:
ImplementRedundancy
Utilize Provider’sCluster Mgmt
RegressionTest All Layers
Harden ClustersPrior to Moving
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Have you allowed for modular scaling to keep pace with rapid growth?
3
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You can add new storage, compute and network capacity in a
fast, cost-effective and modular way.
YOUR BIG DATA PLATFORM IS PRODUCTION-READY IF:
Accelerate with Cloud
Deployment
Scale YourBig Data
Optimize with Distributed
Storage Layer
Retune andRebalance
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Have you beefed up your organization’s big data skillsfor maximum productivity?
4
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Your staff has the requisite database, integration and analytics skills to support your
big data initiatives over their life cycle.
YOUR BIG DATA PLATFORM IS PRODUCTION-READY IF:
Hire Big DataConsultants
ProvideTraining
RecruitExperts
Join Big DataCommunities
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Have you reorganized support processes for the
realities of big data?
5
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You can efficiently provide trouble response, user training and other support functions in a way that’s consistent with existing operations.
YOUR BIG DATA PLATFORM IS PRODUCTION-READY IF:
Consultative Support
AccountableSupport
24x7Support
UnifiedSupport
Automated Support
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http://ibm.co/bigdataeventhttp://ibmbigdatahub.com
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