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Kafka supports two types of topics: Regular and compacted. Regular topics can be configured with a retention time or a space bound. If there are records that are older than the specified retention time or if the space bound is exceeded for a partition, Kafka is allowed to delete old data to free storage space.
The different data retention policies weigh legal and privacy concerns economics and need-to-know concerns to determine the retention time, archival rules, data formats, and the permissible means of storage, access, and encryption. [1]
Data integrity contains guidelines for data retention, specifying or guaranteeing the length of time data can be retained in a particular database (typically a relational database). To achieve data integrity, these rules are consistently and routinely applied to all data entering the system, and any relaxation of enforcement could cause errors ...
A retention period (associated with a retention schedule or retention program) is an aspect of records and information management (RIM) and the records life cycle that identifies the duration of time for which the information should be maintained or "retained", irrespective of format (paper, electronic, or other). Retention periods vary with ...
Data holdings are generally the storage methods used in the past when data has been lost due to environmental and other historical disasters. [4] Furthermore, data retention differs from data preservation in the sense that by definition, to retain an object (data) is to hold or keep possession or use of the object. [7]
SEC Rule 17a-4 is a regulation issued by the U.S. Securities and Exchange Commission pursuant to its regulatory authority under the US Securities Exchange Act of 1934 (Known simply as the "Exchange Act") which outlines requirements for data retention, indexing, and accessibility for companies which deal in the trade or brokering of financial securities such as stocks, bonds, and futures.
the amount of time required to bring a desired data set back from the backup media. Retention time. the amount of time in which a given set of data will remain available for restore. Some backup products rely on daily copies of data and measure retention in terms of days. Others retain a number of copies of data changes regardless of the amount ...
At present, a growing problem is the time taken to reproduce an archive, for instance following a hardware or system upgrade. Since the sheer volume of archive data continues to grow, new hardware is always required to maintain the archive and so regular migration of data to a new system must be performed on a regular basis.