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5 Ways To
 Make Big Data
Production-Ready
 #BigDataMgmt
Production-ready big data =
    Big data deployment that is prepared for
    delivery into a production IT environment.




Join us for a broadcast event http://IBM.co/BigDataEvent
5 Things to Keep in Mind
                  to help big data realize its
                   full operational potential:




Join us for a broadcast event http://IBM.co/BigDataEvent
1
     Are your big data initiatives
      aligned with stakeholder
           requirements?

Join us for a broadcast event http://IBM.co/BigDataEvent
YOUR BIG DATA PLATFORM IS PRODUCTION-READY IF:


       Stakeholders have clearly specified
      expectations, use cases, applications
      and priorities for your big data initiative.


                    Know the        Know the         Know the
                   Applications    Expectations    Prioritizations




Join us for a broadcast event http://IBM.co/BigDataEvent
2
      Have you hardened your
    big data technology stack to
     address all possible SLAs?

Join us for a broadcast event http://IBM.co/BigDataEvent
YOUR BIG DATA PLATFORM IS PRODUCTION-READY IF:


      Your platform meets the availability,
   security and other requirements expected
       of most enterprise infrastructure.


       Utilize Provider’s    Implement    Regression     Harden Clusters
        Cluster Mgmt        Redundancy   Test All Layers Prior to Moving




Join us for a broadcast event http://IBM.co/BigDataEvent
3
           Have you allowed for
          modular scaling to keep
          pace with rapid growth?

Join us for a broadcast event http://IBM.co/BigDataEvent
YOUR BIG DATA PLATFORM IS PRODUCTION-READY IF:


             You can add new storage,
        compute and network capacity in a
       fast, cost-effective and modular way.


          Scale Your     Accelerate      Optimize with     Retune and
           Big Data      with Cloud       Distributed      Rebalance
                         Deployment      Storage Layer



Join us for a broadcast event http://IBM.co/BigDataEvent
4
      Have you beefed up your
    organization’s big data skills
     for maximum productivity?

Join us for a broadcast event http://IBM.co/BigDataEvent
YOUR BIG DATA PLATFORM IS PRODUCTION-READY IF:


    Your staff has the requisite database,
integration and analytics skills to support your
    big data initiatives over their life cycle.


           Provide       Hire Big Data      Recruit        Join Big Data
           Training      Consultants        Experts        Communities




Join us for a broadcast event http://IBM.co/BigDataEvent
5
          Have you reorganized
        support processes for the
          realities of big data?

Join us for a broadcast event http://IBM.co/BigDataEvent
YOUR BIG DATA PLATFORM IS PRODUCTION-READY IF:


You can efficiently provide trouble response,
user training and other support functions in a
way that’s consistent with existing operations.


     Accountable    Consultative      24x7          Unified   Automated
       Support       Support         Support        Support    Support




Join us for a broadcast event http://IBM.co/BigDataEvent
Join us for a broadcast event on April 30th.
          http://ibm.co/bigdataevent
          http://ibmbigdatahub.com
             Follow #bigdatamgmt

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5 Keys to "Productionizing" Big Data

  • 1. 5 Ways To Make Big Data Production-Ready #BigDataMgmt
  • 2. Production-ready big data = Big data deployment that is prepared for delivery into a production IT environment. Join us for a broadcast event http://IBM.co/BigDataEvent
  • 3. 5 Things to Keep in Mind to help big data realize its full operational potential: Join us for a broadcast event http://IBM.co/BigDataEvent
  • 4. 1 Are your big data initiatives aligned with stakeholder requirements? Join us for a broadcast event http://IBM.co/BigDataEvent
  • 5. YOUR BIG DATA PLATFORM IS PRODUCTION-READY IF: Stakeholders have clearly specified expectations, use cases, applications and priorities for your big data initiative. Know the Know the Know the Applications Expectations Prioritizations Join us for a broadcast event http://IBM.co/BigDataEvent
  • 6. 2 Have you hardened your big data technology stack to address all possible SLAs? Join us for a broadcast event http://IBM.co/BigDataEvent
  • 7. YOUR BIG DATA PLATFORM IS PRODUCTION-READY IF: Your platform meets the availability, security and other requirements expected of most enterprise infrastructure. Utilize Provider’s Implement Regression Harden Clusters Cluster Mgmt Redundancy Test All Layers Prior to Moving Join us for a broadcast event http://IBM.co/BigDataEvent
  • 8. 3 Have you allowed for modular scaling to keep pace with rapid growth? Join us for a broadcast event http://IBM.co/BigDataEvent
  • 9. YOUR BIG DATA PLATFORM IS PRODUCTION-READY IF: You can add new storage, compute and network capacity in a fast, cost-effective and modular way. Scale Your Accelerate Optimize with Retune and Big Data with Cloud Distributed Rebalance Deployment Storage Layer Join us for a broadcast event http://IBM.co/BigDataEvent
  • 10. 4 Have you beefed up your organization’s big data skills for maximum productivity? Join us for a broadcast event http://IBM.co/BigDataEvent
  • 11. YOUR BIG DATA PLATFORM IS PRODUCTION-READY IF: Your staff has the requisite database, integration and analytics skills to support your big data initiatives over their life cycle. Provide Hire Big Data Recruit Join Big Data Training Consultants Experts Communities Join us for a broadcast event http://IBM.co/BigDataEvent
  • 12. 5 Have you reorganized support processes for the realities of big data? Join us for a broadcast event http://IBM.co/BigDataEvent
  • 13. YOUR BIG DATA PLATFORM IS PRODUCTION-READY IF: You can efficiently provide trouble response, user training and other support functions in a way that’s consistent with existing operations. Accountable Consultative 24x7 Unified Automated Support Support Support Support Support Join us for a broadcast event http://IBM.co/BigDataEvent
  • 14. Join us for a broadcast event on April 30th. http://ibm.co/bigdataevent http://ibmbigdatahub.com Follow #bigdatamgmt