What is Data Catalog
A system for recording data sets, their owners, descriptions, sources, quality and access rights.
Definition
Data Catalog is a system for recording data sets, their owners, descriptions, sources, quality and access rights. Simply put, this concept helps build reliable services around models: data, compute, access, deployment and monitoring. In practice, it helps to understand what capabilities the tool actually has, what data it will need, and what limitations are worth checking before implementation.
Example
The team searches the catalog to see which tables can be used to train the demand forecast model.
Why it matters
A data catalog reduces data chaos and accelerates the safe adoption of AI. This helps you choose AI tools not by big promises, but by how they work in a real problem.
How it works
Typically, the process starts with data sources and the environment, then sets up calculations, access, automation, monitoring, and security rules. In the case of the term “Data Catalog”, it is important to look separately at the data, quality criteria and application conditions.
Where it is used
- It is found in projects where data storage, computing, integration, deployment, security and stable operation of AI services are important.
Limitations
Limitations are related to computational cost, security, data quality, latency, service availability, and maintenance complexity.