If you’re building a data warehouse, you might want to start by developing a database. This type of database contains multiple tables and fields. Each table should have a common set of fields and allow for key points to be highlighted. PII, or personally identifiable information, should be protected. Your data catalog should also keep up with all of these changes. To help make sure your data catalog is always fresh, consider using governance actions to update it automatically.
Data catalogs are important for data management because they allow users to search data by keywords and filter criteria. Many automatically sort data by relevance and frequency of viewing. They can be inserted into BI tools for reporting. Data catalogs remove silos and provide self-service user experiences. They also reduce the burden on data engineers. The following are some benefits of data catalogs:
Data profiling enables data consumers to understand data quickly and easily. This information can include data types, number of rows or tables, and row count. Data profiles often include column description, maximum and minimum values, null counts, and other data about a particular column. They make it easier for users to analyze data and find the information they’re looking for. This information is used by data curators, data governors, and others involved in the management of data.
Data catalogs can help ensure compliant access to the data. By maintaining a database catalog, only authorized users can access certain data sets. Moreover, data catalogs help users create profiles that protect sensitive data. It’s important to evaluate the metadata of the various databases to make sure it’s integrated with the data catalog. Once you’ve created a database catalog, you can start the data governance process. You can even link data from various databases.
Datai 