Tag Archives: oracle application performance

Improve Oracle Performance While Streamlining IT Operations

jjjjjOracle DBAs are challenged with keeping mission critical databases up and running with predictable performance as data volumes grow.  Our customers are changing their approach to proactively managing Oracle performance while simplifying IT by leveraging our innovative Data Archive Smart Partitioning features.  Smart Partitioning leverages Oracle Database Partitioning, simplifying deploying and managing partitioning strategies.  DBAs have been able to respond to requests to improve business process performance without having to write any custom code or SQL scripts.

With Smart Partitioning, DBA’s have a new dialogue with business analysts – rather than wading in the technology weeds, they ask how many months, quarters or years of data are required to get the job done? And show – within a few clicks – how users can self-select how much gets processed when they run queries, reports or programs – basically showing them how they can control their own performance by controlling the volume of data they pull from the database.

Smart Partitioning is configured using easily understood business dimensions such as time, company, business unit etc. These dimensions make it easy to ‘slice’ data to meet the job at hand. Performance becomes manageable and under business control. Another benefit is in your non-production environments. Creating smaller sized, subset databases that are fully functional now fits easily into your cloning operations.

Finally, Informatica has been working closely with the Oracle Enterprise Solutions Group to align Informatica Data Archive Smart Partitioning with the Oracle ZS3 Appliance to maximize performance and savings while minimizing the complexity of implementing an Information Lifecycle Management strategy.

To learn more about our joint solutions, visit our website, read the recent press release here, download a Data Sheet, or watch a Informatica and Oracle joint webinar.

FacebookTwitterLinkedInEmailPrintShare
Posted in Application ILM, Application Retirement, Data Archiving, Database Archiving | Tagged , , , , , | Leave a comment