Relationships in Predictive Analytics Systems
In Predictive Analytics Systems, entities are interconnected through relationships that define the flow and associations of data and predictions. Key relationships include:
1. Data Source-Feature Relationship:
- One-to-many relationship
- Each data source can provide multiple features, while each feature is associated with one data source.
2. Model-Prediction Relationship:
- One-to-many relationship
- Each model can generate multiple predictions, while each prediction corresponds to one model.
3. Model-Evaluation Relationship:
- One-to-many relationship
- Each model can be evaluated multiple times using different metrics, while each evaluation is associated with one model.
How to Design Database for Predictive Analytics
Predictive analytics is a powerful tool used across various industries to forecast future trends, behaviors, and outcomes based on historical data and statistical algorithms. A well-designed database architecture forms the foundation for storing, processing, and analyzing large amounts of data to generate predictive insights.
In this article, we will learn about How Database Design for Predictive Analytics by understanding various aspects of the article in detail.