Introduction & Basic Data Types
Prof. Dr. David B. Blumenthal · 9 concepts · 10 questions
Concept 1 / 9
The Data Engineering Pipeline
Data Engineering: Collecting, storing, and making data usable for analysis.
Pipeline: Extract → Load → Transform → Analyze
Tabular vs Non-Tabular:
| Tabular | Non-Tabular | |
|---|---|---|
| Rows | Independent | Dependent |
| Row order | Irrelevant (order-invariant) | Matters |
| Examples | Demographics table | Time series, graph, image |