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Not all documents are records. A record is a document consciously (consciously means that the creator intentionally keeps it) retained as evidence of an action. Records management systems generally distinguish between records and non-records (convenience copies, rough drafts, duplicates), which do not need formal management.
The Portable Document Format (PDF) is a file format used to present documents in a manner independent of application software, hardware, and operating systems. Each PDF file encapsulates a complete description of the presentation of the document, including the text, fonts, graphics, and other information needed to display it.
Development DBAs: focus on the logical and development aspects of database administration such as data model design and maintenance, DDL (data definition language) generation, SQL writing and tuning, coding stored procedures, collaborating with developers to help choose the most appropriate DBMS feature/functionality and other pre-production ...
The version of the form that is saved containing user content will become a formal record within the organization. Once a document achieves the status of a record, the organization may apply best-practice or legally enforced retention policies which state how the second half of the record life-cycle will progress.
In a relational database, a row or "record" or "tuple", represents a single, implicitly structured data item in a table. A database table can be thought of as consisting of rows and columns. [1] Each row in a table represents a set of related data, and every row in the table has the same structure.
Records management taxonomy is the representation of data, upon which the classification of unstructured content is based, within an organization. It may manifest itself as metadata in structured database fields or in folder structures represented to end users from a user interface within a system.
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The vague adjectives of very and large allow for a broad and subjective interpretation, but attempts at defining a metric and threshold have been made. Early metrics were the size of the database in a canonical form via database normalization or the time for a full database operation like a backup.