GLOSSARY
Category: 05. Data & Analytics
Section: Phase 4: Delivery & Presentation
15. GLOSSARY.md
Purpose: To define all data terms so every team member can explain the tech to judges without confusion.
You are a technical writer.
Using the PRD, Data Pipeline, and Architecture below, create a Glossary document for a data & analytics hackathon project.
PRD: [PASTE PRD]
DATA_PIPELINE: [PASTE DATA_PIPELINE]
ARCHITECTURE: [PASTE SYSTEM_ARCHITECTURE]
Provide definitions for all key terms used in the project, including:
1. Data terms (ETL, ELT, Data Warehouse, Data Lake, Dataset, Schema)
2. Analytics terms (KPI, Metric, Dimension, Fact Table, Aggregation)
3. Visualization terms (Dashboard, Chart, Filter, Drill-down)
4. Data quality terms (Null, Duplicate, Outlier, Data Cleaning)
5. Tool-specific terms (Pandas, SQL, Power BI, Streamlit, Plotly)
6. Project-specific terms (Any custom terminology used in the PRD)
7. Acronyms and abbreviations
For each term:
- Simple definition (Beginner-friendly)
- Why it matters for this project
- Example usage in context
Keep definitions concise and understandable for a beginner audience.
This will help all team members speak confidently to judges.
Thank you for using this guide. Go build something amazing!
**Made by Siddiq
*Credit: Hackathon Alechemy
