If you’re looking to manage your data and ensure its quality, the best tools for the job include data catalogs. These databases are used for managing, indexing, and organizing all kinds of data. They also help users identify related data.
Data catalogs allow data consumers to find and evaluate data quickly and easily. This can improve the efficiency of business operations. Using metadata allows data curators to know what data is needed, how it’s being used, and who is using it.
Metadata can be defined as “an encoding of the format, content, and structure of information”. The information is typically stored in a human-readable form. Oftentimes, the information is linked to other digital resources.
Metadata can be stored internally or externally. When a digital object is moved, the metadata travels with it. It may be stored in a separate file or a repository. Some object stores, such as Amazon Web Services, offer cataloging capabilities.
Unlike previous data catalogs, modern ones are driven by visual querying capabilities. They appreciate diversity and enable democratic access to all data teams.
Most data teams today are comprised of analysts, business owners, engineers, and data scientists. In order to be effective, their metadata needs to be consistent.
To manage a large collection of metadata, it’s essential to develop a strategy. A good strategy will determine which use cases are most important, how to prioritize them, and what KPIs to measure.
Data profiling is a review of the structure, content, and interrelationships of a data set. It’s also used to alert analysts to potential data quality issues.
Datti 
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