My Contribution

1. <date/time> <footer> 1
Mnemonics & Matrix Reloaded
[ Read less & Learn More Column]

2. (ICP4 = IBM Cloud Pak for * )
 Mission Accomplished !
ICP4*
*
I Integration – Architect Yes
D Data V3 – Data Engineer Yes
A Application – Architect Yes
A Automation Yes
S Security 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