that enables developers to create powerful and responsive applications that have a high level of data integrity supporting them .
Advanced Capabilities
• Amazon Machine Learning – Amazon Machine Learning provides both visualization tools and other UI components to build new models and train existing models .
Cloud Adoption
With cloud-based data lakes , there are two types of operational teams that will be required to ensure maximum availability , reliability and scalability of the platform . One is a traditional operations team that will focus on aspects including service availability , service performance , security and incident response . The second team will be a DataOps team , focused on data quality , automated workflows , data linking , metadata management and modeling of data-centric processes . Shown in Figure 8 , the Cloud Technology Partners framework for cloud adoption has been leveraged for both small and large scale migrations . For data lake implementations , there are specific considerations that much be addressed for each tenet .
Strategy & Economics |
Security & Governance |
Application Portfolio Assessment |
Application Migration |
DevOps |
CloudOps |
|
Security Controls & Assessment
CSA / ISO Standards
|
Portfolio Readiness Assessment
App Assessment
|
Minimum Viable Cloud ( MVC ) POCs and Pilots |
DevOps Maturity Assessment |
Service Management
Cloud Operational Model
|
Cloud Readiness Assessment
Organizational Alignment
|
Security Technology Assessment
Tools , Architectures
|
Cloud Reference Architecture
Capabilities Matrix
|
Infrastructure Automation
Hybrid Cloud
|
|
Governance , Billing , Chargeback , Audit , Logging & Escalation |
ROI / TCO Analysis
Economic Models
|
Remediation & Implementation for a Secure Cloud |
Application Cloud Roadmap & Plans |
Application Migration Factory |
DevOps Automated Services |
Organizational Playbooks
Training
|
BUSINESS DRIVERS : TCO / ROI • Agility • Automation • Time to Market • Efficiency
Figure 8 : The 6 Tenets of Cloud Adoption
44 | THE DOPPLER | SUMMER 2016