Success with new technologies like Hadoop is more than just deploying software and infrastructure. Build your foundation the right way, from people to technology. Learn from experienced leaders, who have hard-earned knowledge from the trenches, the right way to assemble your team, cultivate program excellence, and prepare your cluster to achieve maximum effect.

1. Fostering Hadoop Excellence
Architecting a Center of Excellence
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2. COE Value Proposition
A Center of Excellence (COE) is where
organizations:
Identify Big Data Technologies
Learn New Skills
Develop and Test Processes to Lower Risk

3. COE Development Roadmap
Month 1 Month 2 Month 3
Formal Deployment cont’d Recovery
Training cont’d
Monitoring Ingestion Architecture
Infrastructure Deployment
Integration
Benchmarkin
Hadoop Deployment g
Failure and
Recovery Ingestion Development
Month 4 Month 5
Database HBase
Integration Operations
HBase
Deployment

4. The Center of Excellence Model
Research Learn Develop Deploy
Publish Operate

5. COE Resources
Architectural Staff Integration Infrastructure
Development Staff
Lab and Development
Operations Staff Clusters

6. COE Staffing
Project 1
COE Team Project 2
Project 3
2 – Architect Project 4
2 – Project Manager Project 5
30 – Developers
Project 6
1 – Administrator
Project 7
Project 8

7. COE Process
Business Architect and PM
Architect
Formal Proposal to Review and Accept
Identify Applications Proposal
the CoE
with Business
CoE Team
CoE Team Architect and PM
Design
Reference Planning Planning and
Architecture Project Management Staffing
Execution
CoE Team and Architect and PM
CoE Team
Business
Project Plan
LDDOP
Hand Over Time and Cost Est.

8. COE Skills
Background in Java, Data Management, ETL
Knowledge of Systems Hadoop Integrates
With
Regular Training on New Versioning and
Frameworks

9. Analytics Services
Architecting Center of Excellence

10. Data Science Teams
Data Science is a Central Resource
Scientists are Assigned to Business
Embedding Scientists encourages Data
Driven practices

11. Embedding Data Scientists
Typical Duration is 3-6 months
Focus on Discrete Business Problems
Bring an Understanding of Data as an Asset

12. Data Science and Development
Science provides the Proof
CoE and Business handle Development
Research results are Published and Shared

13. Other Questions
COE cluster deployment?
Multi-tenancy?
Security?
Performance metrics?
Report generation?

14. 14