Difference between Data Catalog and Metadata Management
With metadata management, the maintenance of information within the company no longer depends on the knowledge of a particular employee. Finally, metadata management allows better efficiency, and therefore faster deployment of products and projects.
There are many advantages of metadata management. Metadata management helps to prevent variations in terminology by preventing data from being discovered. Metadata management enables data to be reused many times, and in detail to ensure the consistency of multiple instances of data.
The maintenance of information within the company has no more depends on the knowledge of an employee with the help of metadata management. Metadata management offers better efficiency, and therefore faster deployment of products and projects.
What is Metadata?
Metadata are descriptive files that allow information to be obtained such as quality, spatial and temporal range, and point of contact or date of creation or update of data.
Metadata Catalog helps users to search efficient information. Each data or services presented by you are categorized by the theme to facilitate your research. This classification is based on the recommendations of the INSPIRE directive.
What is data catalog?
The data catalog can be simply defined as a library or a list of all your information assets, where all your data is well indexed and organized. The main goal of the catalog is to enable users to access the data in the service themselves in order to perform their analysis.
A catalog also enables the management of metadata.
Difference between Data and Metadata
Data simply provide a description, a measure or even a report on any element related to a company’s data assets. However, metadata define important information about the data.
Data cannot always be informative. However, metadata are informative because it is a reference to other data.
Metadata always provides clear information, as compared to data that provides unproven information.
Opportunities offered by the data catalog:
Data Search: A catalog is ready to be used by analysts and data scientists. The data catalog helps to quickly find search engines, reliable data certified.
A user can also understand the context surrounding the data with the help of metadata management. A catalog also provides a 360 view of all data.
Promoting Collaboration: A Company can get better visibility about company’s information assets through data catalog. Therefore, employees can also “comment”, “tag”, “like” or “vote” contained in the catalog.
The quality of metadata will be enhanced with the help of these features. Analysts can find relevant data with the help of metadata usage statistics which can be shared by the users between different teams.
Data Catalog vs Metadata
Data catalog is the Index of an organisations data. Users can search their required data sources and get the location of a data source with the help of data catalog to connect to the data. A data catalog has the ability to change data object from outside of the systems.
On the other hand, Metadata Management is not only an index. It helps users to understand the flow of the data. It can also help to build, improve and monitor systems by showing the data movements.
Data catalog helps to organize data according to a referred cataloguing system, such as a database or a dictionary.
Users can use data catalog as a database, SQL or non-SQL.
Metadata is the most essential part of data cataloguing. It is designed using a base of essence, which is assigned to stored information.
Metadata helps the users to explore data catalogued more easily.