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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