Oracle Archive: Managing Databases For Reference
The onset of technology oriented business environment has not only paved way for an increased IT
infrastructure, but has also increased the amount of data and information being stored. Applications and
databases are designed to store a number of transactional records pertaining to the business of the
organization. However, the technological innovation and demands from the customers leads to installation
of new applications and databases, leaving the older versions behind. Hence, at some point in time the
system and network becomes overloaded with the older and inactive databases. These weigh down the
systems performance. Database archiving thus sounds as the most viable solutions against these challenges.
The process of managing the older and inactive applications and data to optimize the performance of a
system or network is referred to as Database archiving. The older records are removed from selective
databases and archived separately in a data store for further reference. The process involves partitioning of
the application databases into operational area and an archive data store. All business records that need to
retain for reference is moved to the archive area. In essence this results in removal and storing of the
records from the database irrespective of it being Oracle archiving, MySQL or any other database.
The data stored in the Oracle archive needs to be proactively managed so as to optimize the performance of
the system or network. Further, the classifying the data as primary and secondary facilitates enterprise
database management. With the help of Enterprise Data Management Software, organizations can archive
database while deploying policies to manage, secure and store data in a single console. This paves way for
improved application performance, faster disaster recovery, cloning and reduced maintenance and storage
Besides Oracle Archives, the Enterprise Database management Software also caters for protection of the
data through the Oracle data masking system. By using centralized management of data classification and
security policies it ensures security of all corporate or customer data exposed through the Oracle database.
Database masking modules provides for a cost-effective and highly secure method that guarantees data
privacy, security, and compliance. Combined with application awareness for the specific application and a
unified policy manager, these modules of enterprise database management suite automates data masking
practices while managing multiple applications across hardware platforms.
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