Proven Strategies for Archiving Complex Relational Data
Session Number: 357
Track: Vendor Solution Presentations
Session Type: Podium Presentation
Primary Presenter: Debra VanHall [IBM c/o George P. Johnson]
Co-Presenter: Cynthia Babb [IBM]
Speaker Bio: With over 15 years in the management, sales and marketing of technology products and services, Cynthia currently oversees product marketing and strategy efforts for the InfoSphere Optim data lifecycle solutions at IBM. She has been a frequent speaker at IBM, ASUG and Oracle conferences as well as regional events, on topics ranging from data privacy to application data management. Prior to joining IBM, Cynthia led marketing and sales enablement efforts for Antenna Software, a mobile solutions provider. She has also held a variety of technology, marketing and sales positions at GoAmerica and Wynd Communications. Cynthia is a graduate of California Polytechnic State University with a degree in Electrical Engineering.
Audience experience level: Beginner, Intermediate, Advanced
Presentation Category: Data Warehousing and Business Intelligence
Presentation Platform: Cross Platform
Audiences this presentation will apply to: Application Developers, Data Architects, Database Administrators, Systems Programmers, New Users, IT Managers
Technical areas this presentation will apply to: Data Warehousing and Business Intelligence
Abstract: "Today’s organizations are storing large volumes of data across the organization -- and this is likely to grow exponentially in the coming years. Data that has accumulated at a significant rate is highly distributed over multiple applications, databases and platforms, creating complicated data relationships that are difficult to define, understand, control and house. And managing years of historical data in production databases can impact application performance and disaster recovery initiatives.
As a result, more companies are realizing the value of database archiving as an essential component in an effective data management strategy, improving application availability, reducing storage & operational costs, and minimizing risk. In this session, learn how organizations are implementing database archiving strategies across heterogeneous application environments, preserving the business context of the archived data for even the most complex relational data model."
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