Databases process the storage and delivery of data and they need metadata schemas to facilitate this exchange. Database metadata can be relational, source specific, process specific, or can also be used for extracting business intelligence. Although there are different uses of metadata for data warehousing, the goal is simply to automate the processes involved in the flow of information.
In creating a database, information administrators need to input data to the database. This is the stage of hard encoding in order to populate the database. Hard encoding however is a repetitive and cyclical process. As long as the database is live, data must be encoded in it so that it can be useful for the company. To avoid rewriting hundreds of data that come from different sources, information managers can create reusable codes. These reusable codes can be used to populate the database with repetitive data. The reusable codes are the metadata schemas that have specific values automating the encoding process. It can simplify database management. The flow of information to the database will also be faster and more accurate.
Database metadata can also be used for extraction of information. Just like the encoding process, extraction of information is a repetitive procedure. Businesses need data for their operation and to deliver services. In order to simplify data extraction and to facilitate faster delivery of information, metadata codes can be used by information managers. In this way, collating information for different business processes would be easier. The metadata codes can also automate the extraction of data and can be scheduled for a more programmed delivery of information.