What is a data catalog?
At the simplest level, a data catalog is an inventory of all the data available to a company. However, it is much more than just a simple list of what data you have. It is a data management tool that collects and organizes metadata, provides clarity about data definitions, maps data lineage, and details essential business attributes so all users can understand how to leverage their data as an asset. Using a data catalog, users have access to and can quickly retrieve all key information and data used by the company for more informed decision-making. Data catalogs are also particularly useful for building and implementing an organizational data governance plan.What is metadata?
Metadata is data about data: It describes the information used or generated by a company, including data definitions, structure, sources, quality, uses, and procedures. The more your business grows, the more data there is to process. Having standardized, reliable, and easily actionable data can bring real business value to your company, so it's important to organize, map, and index it.What makes up a good data catalog?
The four primary features of a classic data catalog include:- A metadata dictionary, which allows users to describe each piece of data used or generated by the enterprise and visualize their relationships with each other
- Clear labeling, which allows data sets to be grouped by category using labels or keywords
- An intuitive search engine, which enables users to find information with one click
- The ability to manage permissions and access controls to protect the editing rights of catalog entries. It's important to filter access and permissions according to different criteria.
- Automatic and intelligent metadata import from multiple data sources
- Collaboration features (adding comments and information and a notification center)
- Traceability and data lineage to visualize the origin and transformations of data over time
Main user benefits
A robust data catalog solution is essential for organizations to make smarter, data-driven decisions. It allows users to:- Democratize access to data
- Ensure the reliability and accuracy of information
- Control the quality of data
- Collaborate efficiently
- Facilitate decision-making based on contextualized and actionable information