As we work with a special architectural setup for our dashboard, it is updated with new data every 24 hours?
Why?
1. Data Processing:
Batch Processing: We have batch processing in place to aggregate and accumulate data in the correct way to visualize it within the dashboard. This involves collecting and processing data in large batches, at specific times instead of continuously. This is more efficient for large datasets and reduces the load on the system.
Data Aggregation: As explained above, we show aggregated data over a specific period (e.g., daily, weekly, monthly). This requires processing and summarizing the data before displaying it, which can take time.
2. Resource Optimization:
Server Load: Continuously updating the dashboard with every new data point can put a significant strain on the server resources. Daily updates help manage this load and ensure smooth operation of the platform.
3. User Behavior:
Focus on Trends: For our users, daily updates are sufficient to track trends and make informed decisions. They don't need real-time updates for every data point. Please keep in mind that it is still possible to have real-time updates by consuming our API.
User Habits: MobieTrain users typically check dashboards at specific times (e.g., morning, end of day) to review the latest information. Daily updates ensure fresh data is available when they need it.