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Best Practices in Database Archiving and Information Lifecycle
TOMORROW, Wednesday, May 25, 2011 --- 11:00 AM ET / 8:00 AM PT
TOMORROW, Wednesday, May 25, 2011 --- 11:00 AM ET / 8:00 AM PT
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***All attendees will receive a complimentary copy of the new IDC report written by Research Vice President of Application Development and Deployment, Carl Olofson*** Archiving, subsetting, masking and test data generation are proven best practices that have helped IT organizations worldwide improve performance, control costs and automate data retention for enterprise applications. But the path to a successful information lifecycle project can be littered with roadblocks, including resource limitations, data loss and budget constraints. How do organizations successfully navigate this path? What are the major components of a successful information lifecycle and archiving project?
Join this webcast featuring Carl Olofson, Research Vice President, Application Development and Deployment at IDC to learn about:
***All attendees will receive a complimentary copy of the new IDC report written by Research Vice President of Application Development and Deployment, Carl Olofson*** Archiving, subsetting, masking and test data generation are proven best practices that have helped IT organizations worldwide improve performance, control costs and automate data retention for enterprise applications. But the path to a successful information lifecycle project can be littered with roadblocks, including resource limitations, data loss and budget constraints. How do organizations successfully navigate this path? What are the major components of a successful information lifecycle and archiving project?
Join this webcast featuring Carl Olofson, Research Vice President, Application Development and Deployment at IDC to learn about:
- Best practices for archiving, database subsetting, data masking and test data generation.
- IDC's latest research on vendor evaluation criteria for archiving and information lifecycle management software.
- How archiving and information lifecycle management software is used to manage the evolution of data from creation to removal from database.
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