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Fostering Hadoop ExcellenceArchitecting a Center of Excellence
<Speaker Name><Title, Company>
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COE Value Proposition
Identify Big Data TechnologiesLearn New SkillsDevelop and Test Processes to Lower Risk
A Center of Excellence (COE) is where organizations:
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Month 1 Month 2 Month 3
Formal Training
Infrastructure Deployment
Hadoop Deployment
Deployment cont’d
Monitoring IntegrationBenchmarki
ngFailure and Recovery
Month 4 Month 5
Recovery cont’d
Ingestion Architecture
Ingestion Development
Database Integration
HBase Deployment
HBase Operations
COE Development Roadmap
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Learn Develop
Operate
Deploy
Publish
Research
The Center of Excellence Model
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Integration Infrastructure
Lab and Development Clusters
Architectural Staff
Development Staff
Operations Staff
COE Resources
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COE Team
2 – Architect2 – Project Manager30 – Developers1 – Administrator
Project 1
Project 2
Project 3
Project 4
Project 5
Project 6
Project 7
Project 8
COE Staffing
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CoE Team
DesignPlanning
Project ManagementExecution
Architect
Identify Applications with Business
Business
Formal Proposal to the CoE
Architect and PM
Review and Accept Proposal
Architect and PM
Planning and Staffing
Architect and PM
Project PlanTime and Cost Est.
CoE Team
LDDOP
CoE Team andBusiness
Hand Over
CoE Team
Reference Architecture
COE Process
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Background in Java, Data Management, ETLKnowledge of Systems Hadoop Integrates WithRegular Training on New Versioning and Frameworks
COE Skills
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Architecting Center of Excellence
Analytics Services
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Data Science is a Central ResourceScientists are Assigned to BusinessEmbedding Scientists encourages Data Driven practices
Data Science Teams
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Typical Duration is 3-6 monthsFocus on Discrete Business ProblemsBring an Understanding of Data as an Asset
Embedding Data Scientists
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Science provides the ProofCoE and Business handle DevelopmentResearch results are Published and Shared
Data Science and Development
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COE cluster deployment?Multi-tenancy?Security?Performance metrics?Report generation?
Other Questions
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