Data Catalog
A data catalog are standard for metadata management which is a collection of the datasets and data management tools of an organization.
Updated: November 30, 2023
A data catalog are standard for metadata management which is a collection of the datasets and data management tools of an organization. It is used by data scientists and business users to find information quickly and easily. Data catalogs form the central part of metadata management, and provides a repository of data as well as the value that data offers.
Metadata is used by data catalogs to create an inventory of all datasets in the organization. Users can view all the available data in a single place.
Technical metadata data catalogs, Process metadata data catalogs and Business metadata data catalogs are three different types depending on what metadata a data catalog handles.
Data citizens of any organization can search and access data in an organization with the help of a data catalog. It offers users improved data context, reduced risk, accurate and faster data analysis, increased efficiency and reduced time to find data. Users can access data through its descriptions and comments by other data citizens which help them better understand the context and the data.
The data cannot be used to the fullest without a data cataloging methodology. Users should include all data types, make sensitive data a priority, use clear descriptions, manage dataflows, make it a data lake and leverage machine learning techniques to make a data catalog work.
Types of data catalogs
- Enterprise Data Catalogs
- Self-Service Data Catalogs
- Metadata Catalogs
- Data Lake Catalogs
- Cloud Data Catalogs
- Big Data Catalogs
- Collaborative Data Catalogs
- Technical Metadata Catalogs
- Business Glossary Catalogs
- Data Quality Catalogs
- Open Data Catalogs
- Regulatory Compliance Catalogs
