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Reduce storage footprint of Test and Development

Securing sensitive data in database environments is only one piece of the compliance puzzle. Data Auditor provides enterprises with the tools to classify data based on its sensitivity, define policies at the database level that determine how that data should be managed, and automatically monitors and logs any changes to application data.


With peoplesoft archiving, organizations can implement policy based schemes for automatically migrating out of Tier 1 production stores into lower cost Tier 2 storage, ensuring application performance, faster back-up and recovery and lower total cost of storage. Most experts conclude up to 80% of production data is no longer mission critical, using enterprise data archiving reduces overall storage costs while maintaining access through the native application.

Test Data Management is a strategy for organizations to manage their test and development processes to meet application development and testing requirements, streamline cloning processes and secure data so organizations are equipped to deliver the clones needed to meet upgrade and patch cycles and maintain data security.


Multiple clones must be configured and managed across applications, databases, servers, and storage devices, all the while exposing sensitive customer data to potential leaks. With identity theft a growing concern among consumers, regulators and law makers, a strategic approach to manage test data is needed.


Organizations can mitigate the impact of data growth by running batch reports during downtime, purchasing faster hardware or utilizing the purge functionality. None of these techniques fully address the reality of database growth and the need for long term data retention. To maintain performance of archive MySQL based applications while ensuring compliance, organizations must Develop classification strategies for primary and secondary data sets.

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Enterprise Data Archiving Solution for JD Edwards

Organizations can mitigate the impact of data growth by running batch reports during downtime, purchasing faster hardware or utilizing the purge functionality. SQL server archiving modular and centralized architecture allows companies to securely manage their archiving processes. There is no need for multiple installations of database tools or application metadata for each server environment.


With health data management solutions, organizations can create and deploy effective and consistent policies for managing, securing and storing data from a single console. The result is improved application performance and availability through smaller production database sizes, shorter backup and recovery times, reduced labor costs to maintain the production system and lower storage costs.


EDMS supports peoplesoft archiving for all modules. It can be integrated with any module in PeopleSoft through EDMS objects that define the most common PeopleSoft business objects. EDMS enables users having functional knowledge to build configurations around related objects in PeopleSoft.


With the help of application archiving organizations can save storage, improve database and reporting performance and lesson the burden on IT resources for data back-up, disaster recovery and cloning. Additionally, under-utilized data can be moved to lower cost Tier-2 storage while seamless data access is maintained.


Jd Edwards database has a long history of delivering ERP systems to mid-market companies, capturing, storing and delivering mission critical information. Over time, the load from millions of financial and operational transactions added to the system daily weighs heavily on the application servers, impacting performance and report response rates.

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Leverage your IT investments

Peoplesoft archiving provides organizations to implement policy based schemes for automatically migrating out of Tier 1 production stores into lower cost Tier 2 storage, ensuring application performance, faster back-up and recovery and lower total cost of storage. Data Management Suite's modular and centralized architecture allows companies to securely manage their data management processes. It helps organizations to increase productivity among application users and reduce high cost infrastructure in production systems.

Test data management allows companies to securely manage test data and development processes with a single tool. There is no need for multiple installations of database tools for each server environment. Test data management helps organizations to achieve faster cloning times through rapid application and database cloning processes. Data Auditor provides enterprises with the tools to classify data based on its sensitivity, define policies at the database level that determine how that data should be managed, and automatically monitors and logs any changes to application data.

Organizations can mitigate the impact of data growth by running batch reports during downtime, purchasing faster hardware or utilizing the purge functionality. None of these techniques fully address the reality of database growth and the need for long term data retention. To maintain performance of archive mysql based applications while ensuring compliance, organizations must actively manage transactional data stores to optimize application performance.

By incorporating database archiving strategies with mission critical business, organizations are able to address and mitigate performance, storage and data management concerns. As one of the original ERPs, there are thousands of customer’s worldwide running baan database modules for manufacturing, financial, project estimating and management and distribution. Over time, the load from millions of transactions added daily to the system weighs heavily on application servers impacting performance and report response rates

 

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Data archiving for enterprise application

Thousands of customers worldwide are running BaaN modules for manufacturing, financial, project estimating, management and distribution. Too much of load on databases over a span of time slows down the application performance. Also, database table size limitations make enterprise data management an important data management strategy for Baan customers. With the Enterprise data archiving solution for Baan, organizations can create and deploy effective and consistent policies for managing, securing and storing data from a single console.

Archiving in peoplesoft enables management solutions for performance, security and information access. This provides a complete solution for all data archiving needs. Database Archiving for PeopleSoft, organizations can create and deploy effective and consistent policies for managing, securing and storing data from a single console. The result is improved application performance and availability through smaller production database sizes, shorter backup and recovery times, reduced labor costs to maintain the production system and lower storage costs.

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. 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.

 

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Data management needs to meet the unique need of ILM and com...

Information lifecycle management (ILM) is a holistic approach to managing data in Enterprise Applications from creation and storage to its disposal. ILM goes beyond storage, by including facets of managing data at every stage of its lifecycle - creation, protection, migration, security, archiving and eventual disposal of data. It's a comprehensive strategy for profit management, for risk reduction and for maximizing your enterprise-wide information assets.

MySQL technology has been saving time and money for the several large organizations by powering their high-volume websites, business-critical systems and commercial software. Enterprise data management is a proven solution to manage growth in application and custom databases by reallocating data out of production systems into secondary, lower cost storage systems while maintaining seamless data access through the native application or BI layer.

Application retirement is a viable strategy for eliminating redundant legacy applications, thereby improving operational efficiency and reducing costs.  By reducing the number of applications within the IT infrastructure, DBAs can concentrate on maintaining critical business applications with the highest value to the organization, instead of compiling data from disparate sources. Enterprise data management application provides companies with a centralized solution to manage the test data management process for clone creation, productivity and data security.

Application retirement allows organizations to implement Data migration projects across applications: Legacy, Mainframe, BaaN, JDE, PeopleSoft, Siebel Oracle, SAP, etc. while allowing changes to chart of accounts, organization structure, costing methods, etc.

Archiving in peoplesoft reduces IT maintenance otherwise associated with large data volumes. It also maintains seamless data access to archive data through native PeopleSoft Application interfaces.

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Increase productivity in the data center by automating proce...

It is a common fact that most database applications store company’s confidential details such as employee information, client information, company’s financial details etc. Most often these details need to be shared with developers and others while providing production support for upgrades, training, outsourcing etc. 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.

Often many applications, which were yielding good results for the companies, become outmoded when organizations grow, merge or strengthen their operations; since not much attention is paid to maintain these applications. Application retirement is the best solution for doing away with disused applications as they expend a lot of resources, storage etc while benefiting the organization very little.

Data migration is a metadata based tool that allows companies to map metadata between applications and create conversion rules for faster and seamless data migration. It acts as an efficient project accelerator for migrations of any nature.

Data subsettting decreases storage requirements and increases IT productivity by reducing the overall size of the final database clone. Database Administrators and Developers can select sets of transactions or application modules and remove the data through deletion or truncation, or use the more efficient Insert Method for database cloning.

Archiving in peoplesoft enables management solutions for performance, security and information access. The result is improved application performance and availability through smaller production database sizes, shorter backup and recovery times, reduced labor costs to maintain the production system and lower storage costs.

 

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Centralized management of data classification and security p...

Application retirement is a viable strategy for eliminating redundant legacy applications, thereby improving operational efficiency and reducing costs. By reducing the number of applications within the IT infrastructure, DBAs can concentrate on maintaining critical business applications with the highest value to the organization, instead of compiling data from disparate sources. Enterprise data management application provides companies with a centralized solution to manage the test data management process for clone creation, productivity and data security.

Application retirement helps organizations to reduce cost while maintaining access to the data either through the creation of a common data store or by data migration into an existing enterprise application. This helps in operational efficiency and reducing cost.

Every kind of storage is bound to overflow sometime or the other; it also applies 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.

Archiving in peoplesoft enables management solutions for performance, security and information access. The result is improved application performance and availability through smaller production database sizes, shorter backup and recovery times, reduced labor costs to maintain the production system and lower storage costs.

 

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Maintain good operational performance during heavy load time...

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.

Data management solutions provide organizations with the tools to mitigate risk, reduce storage costs, enforce consistent security policies, database auditing, and to retire legacy applications. They also help in data archiving so as to support eDiscovery by creating a secure, controlled, and searchable archive for all data - application, email, documents and other files.

With archiving in peoplesoft, organizations can implement policy based schemes for automatically migrating out of Tier 1 production stores into lower cost Tier 2 storage, ensuring application performance, faster back-up and recovery and lower total cost of storage.

Database cloning creates a database template and restores or inserts only the transactions or modules needed. The Insert Method for database cloning allows IT organizations to create subsets much faster as only the data needed for the test is cloned, resulting in a faster cloning process and reduced storage requirement. Whichever subset method is used, referential integrity is maintained.

 

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Management solution for performance, security and informatio...

 

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. Database masking provides companies with a centralized solution to manage the test data management process for clone creation, productivity and data security.

Enterprise data management provides the data management framework for all enterprise applications and databases including database cloning, subsetting and data masking to allow organizations to protect data in non-production environments while reducing infrastructure costs and improving development cycles.

Archiving in peoplesoft enables management solutions for performance, security and information access. The result is improved application performance and availability through smaller production database sizes, shorter backup and recovery times, reduced labor costs to maintain the production system and lower storage costs.

Data archiving solutions enables in improving and reducing storage and IT costs. Enterprise database archiving restores application performance by up to 50% by relocating inactive data from the production database to a secure online data archive.

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Data Archiving for PeopleSoft Applications

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.

With archiving for PeopleSoft, organizations can implement policy based schemes for automatically migrating out of Tier 1 production stores into lower cost Tier 2 storage, ensuring application performance, faster back-up and recovery and lower total cost of storage.

Data management solutions provide organizations with the tools to mitigate risk, reduce storage costs, enforce consistent security policies, data auditing, and to retire legacy applications. They also help in data archiving so as to support eDiscovery by creating a secure, controlled, and searchable archive for all data - application, email, documents and other files.

Information Lifecycle Management solutions are designed to help enterprises manage data growth by providing the tools classify, archive and migrate data to improve application performance and reduce administrative overhead and infrastructure costs.

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PeopleSoft Data Archive Solutions

Organizations can minimize the impact of large data volumes by upgrading the server and storage environments or deleting data from the system. However, wholesale deletion of data from production does not comply with legal and regulatory requirements for long-term data retention. To maintain performance of archiving in PeopleSoft while ensuring compliance, organizations must assess data volume for each given modules or the sum total of the PeopleSoft Application database.

Test data management is a strategy for organizations to manage their test and development processes to meet application development and testing requirements, streamline cloning processes and secure data so organizations are equipped to deliver the clones needed to meet upgrade and patch cycles and maintain data security.

Information Lifecycle Management solutions are designed to help enterprises manage data growth by providing the tools classify, archive and migrate data to improve application performance and reduce administrative overhead and infrastructure costs.

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.

 

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Data Masking Reduces Risk of Privacy Violations

Data masking is a proven strategy to obscure specific fields that identify an individual, potentially exposing customers or employees to identity theft or other forms of privacy invasion. Utilizing data privacy Pack for Oracle E-Business Suite to scramble, encrypt, shuffle or otherwise mask names, addresses, credit card numbers, salaries, or social security numbers; privacy is ensured and relational integrity is maintained.

Data privacy protection  manages multiple applications metadata for all data types independent of the hardware platforms through a unified policy manager. Data privacy allows the organization to share data while maintaining confidentiality and integrity. Control Management and Configuration Management are key players here. Necessary access controls, password management, version control and track changes are vital in protecting data privacy.

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Securely Manage Test Data and Development Processes

Database cloning creates a database template and restores or inserts only the transactions or modules needed. The Insert Method for database cloning allows IT organizations to create subsets much faster as only the data needed for the test is cloned, resulting in a faster cloning process and reduced storage requirement. Whichever subset method is used, referential integrity is maintained. Database cloning is therefore very helpful in protecting data in less secure environments

Data migration is a metadata based tool that allows companies to map metadata between applications and create conversion rules for faster and seamless data migration. It acts as an efficient project accelerator for migrations of any nature.

Using database archiving reduces overall storage costs while maintaining access through the native application. This provides a complete solution for all enterprise data archiving needs. Most experts conclude up to 80% of production data is no longer mission critical.

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Database Archiving for Oracle

Oracle is the most widely deployed RDBMS system in the world supporting more than 300,000 installations. In addition to the growing number of implementations, current installed Oracle databases are experiencing incredible growth due to the amount of online data in enterprises.

Enterprise customers running Oracle E-Business Suite, JD Edwards, PeopleSoft, Siebel, SAP, Baan, or Custom applications running on Oracle, Informix, Microsoft SQL Server, Sybase or MySQL depend on data to run their businesses. Data archiving is the complete solution for all enterprise database archiving needs to maintain performance and optimize storage.

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Storage Optimization through Data Archiving

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 up to 80% of production data is no longer mission critical. Using database archiving reduces overall storage costs while maintaining access through the native application.

Enterprise data archiving solution enables centralized management of data classification and security policies. At the core of the EDMS is the Enterprise Metadata Manager, which manages multiple applications metadata for all data types, independent of the hardware platforms through a unified policy manager.

Data archiving solution for Oracle, organizations can create and deploy effective and consistent policies for managing, securing and storing data from a single policy console. The result is improved application performance and availability through smaller production database sizes, shorter backup and recovery times, reduced labor costs associated with production and test system maintenance and lower storage and infrastructure requirements and costs.

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