Appendix. Cloud Data Lake Decision Framework Template
In this section, Iâll provide a template that you can use to plan your cloud data lake solution. You can customize this template as needed based on your specific scenarios or customers. I recommend that you plan at least over a one- to two-year horizon to ensure that your cloud data lake design is sustainable before you have to make drastic changes.
Phase 1: Assess Framework
Target 60%â70% accuracy and completeness
The objective of this phase is to define and prioritize the requirements for the cloud data lake that will drive your architecture and implementation decisions. In this phase, the data engineering team needs to identify the requirements based on two key aspects: customer requirements and business drivers. I strongly recommend doing your due diligence in the assess phase, which will set you up for smooth planning and execution of the subsequent phases.
Use Table A-1 to record the findings from your stakeholder interviews.
| Customer | Problem | Severity of problem | Helpfulness of data lake | How cloud data lake can help |
|---|---|---|---|---|
    |
    |
High/Medium/Low |
High/Medium/Low |
    |
    |
    |
High/Medium/Low |
High/Medium/Low |
    |
    |
    |
High/Medium/Low |
High/Medium/Low |
    |
    |
    |
High/Medium/Low |
High/Medium/Low |
    |
    |
    |
High/Medium/Low |
High/Medium/Low ... |
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