1. Scenario & Data Pipeline Architecture
500,000 rows
📊 Excel
🗄️ SQL
🐍 Python
📈 Tableau / BI
Stack Feasibility
95%
Active Stack
SQL + Python
Aggregation & Data Extraction handled in SQL; Cleaning and Predictive Modeling in Python.
2. Stack Matrix & Role Transition
Optimized
| Task Dimension | Excel | SQL | Python | BI |
|---|---|---|---|---|
| Max Data Volume | ≤ 1.04M | > Billions | > 100M+ | In-Memory |
| Ad-hoc Exploration | Instant | Query-based | Notebook | Visual Drag |
| Query & Ingestion | PowerQuery | Native Base | Connectors | Imports |
| Cleaning & Regex | Formulas | String Funcs | Pandas/Regex | Restricted |
| Stats & Predictive ML | Basic Add-in | Window Funcs | Scikit-Learn | Forecasting |
| Daily Automation | VBA/Macros | Stored Procs | Airflow/Cron | Scheduled |
3. Tailored Skill Milestones