What Is Data Catalog Page Update?

A technical data catalog provides metadata that helps IT teams, data engineers, and data scientists understand the organization's data storage and processing setup. It primarily focuses on data structure, storage, and lineage of data and includes technical details such as:

• Data source configurations, including databases, data lakes, and APIs
• File formats and schemas
• Data lineage, showing transformations and dependencies
• Data quality metrics and validation rules

In contrast, a business data catalog describes data assets in a way that aligns with business goals and terminology. It provides a business-friendly data view, including information like:

• Mappings between business terms and technical data sources
• Data usage guidelines and policies
• Ownership and stewardship information for data governance

A technical data catalog provides a deep dive into how data is structured and flows through an organization. A business data catalog ensures that business users can easily interpret and leverage data for strategic decision-making. Together, they create a comprehensive data governance framework, bridging the gap between technical and business stakeholders.

A business glossary defines business terms, concepts, and metrics used within an organization. It standardizes terminology to ensure that all business users share a common understanding of key terms, preventing miscommunication. For example, a financial institution might define "customer churn rate" in its business glossary to ensure all departments calculate it similarly.

A glossary and catalog work together within a data governance framework. The glossary defines a term, and the catalog shows where and how the corresponding data exists in the organization. For example, if a business glossary defines "net revenue," the data catalog links this term to the relevant datasets in different systems, providing visibility into how net revenue is calculated and stored.

The business glossary establishes a shared language across the organization, while the data catalog enables efficient data discovery. Together, they ensure that data is well-defined and well-managed, enhancing business value.