Data Versioning
AI Infrastructure
The process of converting data from one format or structure into another to make it suitable for analysis or integration.
Detailed Explanation
Data Transformation is the process of converting data from one format, structure, or schema into another. This facilitates compatibility, consistency, and usability for analysis, integration, and storage. It involves techniques such as normalization, aggregation, and encoding, ensuring that data is clean, relevant, and efficiently retrievable, thereby enabling effective decision-making and seamless data workflow within AI systems.
Use Cases
- •Use case: Preparing raw sensor data for machine learning models to improve accuracy and facilitate real-time analysis.
Related Terms
Other terms in the AI Infrastructure category