Smart Technology

Enterprise class business applications require multiple copies be made to support test data management processes such as patch, test, QA and training. Most companies make 6-8 full size clones for every production application, not only wasting storage and time in cloning but potentially exposing sensitive application data to the test environment. Data masking provides companies with a centralized solution to manage the test data management process for clone creation, productivity and data security. As a result, there is a great risk of this data being used for unlawful activities. Data masking helps in protecting data in less secure environments.

Data is the life blood of any organization, but too much data can slow application and reporting performance and tax IT resources. Utilizing database archiving to actively manage the growth of application data is a key to manage data for its value to the organization. Data archiving for the enterprise helps in reinstating the application's performance to 50% by archiving inactive data. Enterprise data archiving achieves this by storing data in the less expensive Tier 2 storage system instead of Tier 1, which is the normal case. The advantage of data archiving is that as the organization doesn't need large data sets the IT costs decrease to a minimum. Users of Oracle E-Business Suite, Baan, Oracle JD Edwards, Oracle PeopleSoft, Siebel and more benefit a great deal by data archiving.

While the benefit of archiving reduces the overhead cost of data maintenance, when it stretches beyond the need for existence the natural course to take is retirement. Application retirement solutions offer data migration services across applications, operating systems and databases. While data need not be totally eliminated, it can involve a mix of archiving and deletion. Database administrators who vouch for speed and usability will definitely benefit from this kind of solution. When profits and budgets are more often analyzed, application retirement is the best option to go for.

Every kind of storage is bound to overflow sometime or the other. It applies very much to software industries. Companies that have large storage data, which would also be needed for future trend analysis, reduce retrieval speed. Such companies can opt for data archiving solutions. Data archiving is built on the concept of preserving data through classification and storage, helps in improving throughput. Data that has been relocated after classification is protected from redundant searches or data addition. This helps in maintaining integrity and reduces the strain on database servers. When a quarterly or yearly trend analysis is performed it allows for convenient data purging also. Automation of archiving and purging is available as Data archiving solutions. They can be used by multiple projects at the same time and data retrieval is very convenient.

Application retirement is a growing reality for many organizations as they grow, merge or otherwise consolidate operations. The number of enterprise systems that IT departments support, continues to grow by the day. Strategic moves away from proprietary mainframe and applications systems coupled with efforts to reduce IT spending on existing infrastructure are bringing focus on application retirement as a way to fund new projects or make the existing IT budget go farther. Application retirement helps organization to reduce cost while maintaining access to the data either through the creation of a common data store or by migrating data into an existing enterprise application.

The main factor that affects the performance of an application and thereby increases the maintenance cost is the large amount of data stored in databases. Experts opine that almost 80% of data is irrelevant. Enterprise data archiving achieves this by storing data in less expensive Tier 2 storage system instead of Tier 1, which is the normal case. With support for custom applications running on Oracle, IBM, Informix, MS SQL, MySQL or other RDMS with JDBC driver support, enterprise data archiving is the complete solution for all enterprise data archiving needs.

Data in production systems use highly available redundant Tier 1 storage systems. Enterprise data archiving is a proven strategy to relocate data to less expensive Tier 2 storage, reducing the need to continuously add to storage to production systems. Most experts conclude that up to 80% of production data is not mission critical, so using database archiving reduces overall storage costs while maintaining access through the native application. Enterprise data archiving is a complete solution for all enterprise data archiving needs.

Enterprise class business applications require multiple copies be made to support test data management processes such as patch, test, QA, and training. Most companies make 6-8 full size clones for every production application, not only wasting storage and time in cloning but potentially exposing sensitive application data to the test environment. Secure test and development provides companies with a centralized solution to control the test data management process for clone creation, productivity and data security. Data masking helps in protecting data in less secure environments.

Organizations nowadays have reached the saturation point in data storage and they result in slow and tedious performance levels. The trend now is to allow an external supplier to provide for a complete enterprise database management solution. The database management packages provide for database archiving, masking, auditing, application sun-setting and migration. These packages aim at optimizing database storage and increasing performance through automating the archive and purge processes. Regular auditing of data usage provides for protection and compliance issues. Multiple applications can run simultaneously and yet perform optimally. Market and trend analysis can be performed on the archived data and this forms the basis for future predictions and growth.

Many corporations depend on Oracle E-Business Suite Archiving to record and store mission critical information. Over time, the load from millions of transactions added daily to the system weighs heavily on application servers, impacting performance and report response rates. Database Archiving for Oracle solution is part of the enterprise data management that enables centralized management of data classification and security policies. Data management systems manage multiple applications and data types across all hardware platforms.