Data Volume & Scalability Considerations

Understanding the scale of data is essential for designing a robust and scalable model.

Key aspects of data volume

1. Current data volume
2. Expected annual growth rate
3. Potential for sudden spikes
4. Data distribution across different entities

Example data volume scenarios

Questions to ask about data volume

• "What is the current data ingestion rate, and how is it expected to change?"
• "Are there any seasonal patterns or events that significantly impact data volume?"
• "How is the data distributed among different entities or tables?"