Today, most organizations deal with massive amounts of data. It can be difficult to know where to find this data or how to make it useful for insights. Often, the data is not documented or maintained properly. As a result, it can be lost or difficult to locate. Data catalogs are a great way to manage your data assets.
To build a successful data catalog, you must define and organize the key characteristics of your data. By doing so, you will be able to easily access and use the data that you need. The next step is to define the users who need access to certain data assets. This way, if there is a problem with the data, users will know who to reach.
Data catalogs must be able to capture large amounts of data. For example, if two databases have hundreds of tables and each table can have dozens of fields, a data catalog should be able to capture that data. It should also be able to report on changes over time. Some tools offer this type of functionality, such as the IBM Watson Knowledge Catalog. It also offers dynamic information management and impact analysis that will help you determine the relative importance of individual data items.
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Data catalogs should include metadata. The metadata includes information about column names, data types, and descriptions. Metadata can also include information about licenses and subscription constraints. A well-designed data catalog can make it easier for users to find and understand data.
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