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Mnemonics & Matrix Reloaded
[ Read less & Learn More Column]
My Atations (ICP4 = IBM Cloud Pak for * )
 My Successes
ICP4*
*
I Integration – Architect Yes
D Data V3 – Data Engineer Yes
A Application – Architect Yes
A Automation
S Security Yes
M Multi-Cloud Yes
Subject Areas Covered
 Cloud Pak 4 Integration
ICP 4 Integration:
App Connect Enterprise (ACE)
API Connnect
MQ Advanced
Agile Integration
Subject Areas Covered
 ICP 4 Data
ICP 4 Data
AutoAI, ML
Data Refinery
Watson Knowledge Catalog
Data Access & Transformaton
Data Virtualisation
DataOps

IBM Cloud Pak 4 Data
- AI Ladder : Platform Modernisation -
L
A Rung 4 Infuse
D Rung 3 Analyze
D Rung 2 Organise << DataOps
E Rung 1 Collect
R
 Source: IBM
DataOps: Definition
An orchestration of process, people, and technology to speedily deliver trusted
High-quality data to data citizens. It generates business value or deliver insights
in a timely manner.
Subject Areas Covered
 ICP 4 Applications
ICP 4 Apps
Kabanero
Appsody
Codewind
Application
Modernisation
Dev[Sec]Ops
Subject Areas Covered
 ICP 4 Security
ICP 4 Security
Data Explorer
User Behaviour Analytics
Threat Intelligence Insights
SOAR
X-Force Exchange
Subject Areas Covered
 ICP 4 Multi-Cloud Management
ICP 4 Multi-Cloud Management
Red Hat Ansible Tower
Infrastructure Management
Terraform Infrastructure as Code
CloudForms
Managed Services Component
Teodor's Accreditation

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Teodor's Accreditation

  • 1. <date/time> <footer> 1 Mnemonics & Matrix Reloaded [ Read less & Learn More Column]
  • 2. My Atations (ICP4 = IBM Cloud Pak for * )  My Successes ICP4* * I Integration – Architect Yes D Data V3 – Data Engineer Yes A Application – Architect Yes A Automation S Security Yes M Multi-Cloud Yes
  • 3. Subject Areas Covered  Cloud Pak 4 Integration ICP 4 Integration: App Connect Enterprise (ACE) API Connnect MQ Advanced Agile Integration
  • 4. Subject Areas Covered  ICP 4 Data ICP 4 Data AutoAI, ML Data Refinery Watson Knowledge Catalog Data Access & Transformaton Data Virtualisation
  • 5. DataOps  IBM Cloud Pak 4 Data - AI Ladder : Platform Modernisation - L A Rung 4 Infuse D Rung 3 Analyze D Rung 2 Organise << DataOps E Rung 1 Collect R
  • 6.  Source: IBM DataOps: Definition An orchestration of process, people, and technology to speedily deliver trusted High-quality data to data citizens. It generates business value or deliver insights in a timely manner.
  • 7. Subject Areas Covered  ICP 4 Applications ICP 4 Apps Kabanero Appsody Codewind Application Modernisation Dev[Sec]Ops
  • 8. Subject Areas Covered  ICP 4 Security ICP 4 Security Data Explorer User Behaviour Analytics Threat Intelligence Insights SOAR X-Force Exchange
  • 9. Subject Areas Covered  ICP 4 Multi-Cloud Management ICP 4 Multi-Cloud Management Red Hat Ansible Tower Infrastructure Management Terraform Infrastructure as Code CloudForms Managed Services Component