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.

Securely manage test data and development processes with a single tool

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, sub setting and data masking to allow organizations to protect data in non-production environments while reducing infrastructure costs and improving development cycles.

Data archiving ensures database performance is optimized for the business need while creating savings in storage and data maintenance activities. Users of Oracle E-Business Suite, Baan, Oracle JD Edwards, Oracle PeopleSoft, Siebel and more benefit a great deal by enterprise data archiving.

Test data management tool manages multiple applications and data types across at hardware platforms through a unified policy manager. 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 auditing 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.

Reducing Storage in Non-Production Environments with Data Subsetting

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, 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

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.

Access for improved application performance

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. Enterprise data management offer streamline information management, security and automate data storage and retrieval to enable compliance and e-Discovery through long term data retention, data masking, database audit and enterprise search.

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.

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.

Efficient test data management process

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.

Application sunsetting and migration tool utilizes an archive engine of enterprise data management instead of traditional ETL tools. This allows faster, seamless, and controlled data migration while implementing information lifecycle management by storing current data on high availability storage tiers, historical data on cheaper storage tiers and the data that is no longer needed to be accessed online, is stored in offline storage such as optical, magnetic, and similar media.

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.

Secure sensitive data in database

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.

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. It helps in helps in providing retirement to applications that are on the verge of it. It reduces the number of applications within the organ data auditing.

Data archiving is an efficient solution to enhance application performance through smaller production database sizes, shorter backup and recovery times, reduced labor costs to maintain the production system and lower storage costs.

Manages multiple applications and data types

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.

Application retirement reduces 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.

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.

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.

Mitigate risk by extending security policies

Too much data can slow application and reporting performance and tax IT resources. Utilizing data management tools to actively manage the growth of application data is the key to managing data for its value to the organization. Enterprise Data Archiving solution is part of the Enterprise data management Suite that enables centralized management of data classification and security policies.

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 archiving solutions helps in reinstating the application’s performance to 50% by archiving inactive data. It enables in improving and reducing storage and IT costs. Users of Oracle E-Business Suite, Baan, Oracle JD Edwards, Oracle PeopleSoft, Siebel and more benefit a great deal by data archiving solutions.

Data auditing 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.

Centralized management of data classification and security policies

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.

Securing sensitive data in database environments is only one piece of the compliance puzzle. Ensuring that you are alerted when unusual activity is occurring and keeping a secure and searchable data auditing log of database changes is critical to maintaining compliance with regulatory requirements as well as ensuring adherence to corporate information governance policies

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.

Manage and Migrate application data

Business online transaction processing applications are designed and architected to efficiently record and store the transactional history of the organization. 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 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 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.