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The demands placed on enterprise storage keep growing.
On the business side, customers want information quickly, which can drive budgets for storage-area networks and more powerful servers. At the same time, mandates from federal regulations necessitate the tracking and retention of more and more data, shifting spending towards compliance solutions.
Data lifecycle management software lets businesses develop rules to more efficiently deal with different types of data and ensure its proper handling.
Dont miss our Web-based eSeminar, featuring eWEEK.coms own West Coast editor, David Morgenstern, and guest experts, Tony Asaro, senior analyst with the Enterprise Strategy Group, and Daniel Bongiovanni, senior storage specialist with Micro Strategies Inc.
During this our panel looked at:
- What data life-cycle management architecture can mean for record availability and archive procedures
- How data life-cycle management software integrates into existing online storage hardware, as well as backup and archive processes
- Differences between life-cycle solutions and older hierarchical storage management software
- And, best practices for identifying and prioritizing types of data structures and creating a comprehensive implementation plan.
Youll also have a unique opportunity to quiz our experts yourself, during the question and answer session and receive real-time answers.
But to get the most out of this invaluable event, weve put together a suggested reading list that will improve your seminar experience and increase the value you receive.
Our Education Kit will help you get up to speed with data lifecycle management news before you attend. Check out the links below, then get ready to expand your newfound knowledge with questions for our experts.
Education Kit:
- EMC Leads Information Lifecycle Management Charge, Brian Fonseca
- Delorme Maps DLM Management, Anne Chen
- Data Lifecycle Management Ups Ante in Storage, Henry Baltazar
- Storage Execs: Vendors Must Simplify Technologies, Graeme Thickins
To view Improving Storage Utilization through Data Lifecycle Management, please click below: