In order to manage the volume of data and its complexity, you should use a database. If you have two databases, each one will have dozens of tables with many fields. A database should allow you to highlight key points and group assets by common sets. It should also allow you to tag each asset with PII or personally identifiable information (PII).
Data profiling is an important tool for analyzing and interpreting data. A data profile is an informative summary of the data contained within a database. These data profiles may include the number of files and tables, row counts, and data descriptions. The columns may also be null-counted. These can be useful for analyzing data and deciding on the best use of a database. This tool will also help you search for information that is relevant to your business.
Metadata defines the core information stored in a database. Metadata includes business knowledge, such as product descriptions, supplier parts, and customer records. It includes extended attributes such as fitness-for-use and relevance. The metadata will also help you find data quickly and easily. A data catalog is an effective way to manage and access data without the need for specialized IT staff. A database with meta-data can help you make better business decisions. There are a variety of ways to use a database, and the right approach will be based on your business needs.
Data catalogs are the backbone of metadata management. Data catalogs enable data consumers to find data they need based on specific criteria (more). Metadata can also help manage data stewardship, data governance, and metadata dependent activities. For example, data catalogs can provide insights for a wide range of users. If your data catalogs contain metadata, your data management team will be able to better identify and evaluate the data in a database. It is an important tool for data curation.
