WEBCAST: Posted: 21 Mar 2008 | When: Available On Demand
SUMMARY:
View this Webcast to learn about an open source database that will allow you to move beyond feature parity with other databases, focus on performance improvements and align systems with business trends.
WHITE PAPER: Posted: 06 Mar 2008 | Published: 01 Dec 2007
SUMMARY:
The goal of this paper is to discuss best practices and new technologies available for provisioning databases for test and development environments that enable significant cost savings and regulatory compliance.
WEBCAST: Posted: 03 Mar 2008 | When: Available On Demand
SUMMARY:
In this expert Webcast, Steve Duplessie looks at research done by Enterprise Strategy Group and outlines what you can expect from digital archiving and when.
WHITE PAPER: Posted: 21 Dec 2007 | Published: 01 Dec 2007
SUMMARY:
High availability and disaster recovery are increasingly in demand to support mission-critical applications. Learn how Oracle 11g offers maximum availability with the combination of high availability and disaster recovery.
WHITE PAPER: Posted: 30 Nov 2007 | Published: 30 Nov 2007
SUMMARY:
Relational databases like Oracle grow 3x to 5x in size every three years, but most are not backed up properly. Learn about one of the newest trends in the industry: to outsource or out-task to your database administration needs.
WHITE PAPER: Posted: 28 Nov 2007 | Published: 01 May 2007
SUMMARY:
Learn how DB2 can help you meet the demands of business intelligence by reducing query response time from hours to seconds, supporting real time data warehousing, optimizing your storage and lowering operating costs.
WHITE PAPER: Posted: 30 Aug 2007 | Published: 01 Jan 2008
SUMMARY:
Successfully upgrade or migrate to Oracle 10g while eliminating database downtime. Improve the availability, performance, and accessibility of the transactional data that drives mission-critical business processes.
WHITE PAPER: Posted: 19 Mar 2007 | Published: 01 Mar 2007
SUMMARY:
This white paper discusses how two operations in particular -- joins and aggregations -- play an integral role during preprocessing as well in manipulating and consolidating data in a data warehouse.
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