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Sequence 249 — Meridian applied-lab plan and prediction
Context: Chapter 14 - Big Data and Data Science | Applied Lab
Source: CDMP Master Execution Manual
When / purpose
Enter the Chapter 14 lab with a business hypothesis before tools/templates.
What to read / study
- MUST: Chapter 14 Applied Lab folder — final lab must be source-checked; if missing, stop and have it built from the chapter source.
- MUST: Meridian Casebook — only scenario/system/domain sections used by the lab.
- REFERENCE: Technology Roadmap — required medium: DuckDB + Python/pandas, concise by design; do not exceed chapter-triggered depth.
Do this in order
- Read the lab business situation and expected evidence.
- Write a prediction.
- List exact inputs.
- Confirm raw inputs stay unchanged.
- Identify which DMBOK concept each step makes visible.
Meridian application
Generate a larger click/event dataset in JSON/Parquet; query with DuckDB/Python; compare management characteristics with relational transactional data; focus on recognition/governance implications, not ML training.
Create / save
Lab prediction + input/evidence checklist.
Stop / boundary
If the lab guide is missing, preserve the stop gate; migration does not build it.
Completion gate
You can explain what you are about to do, why it matters and what result would change your conclusion.
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