Database partitioning provides improvements to maintenance and performance. This paper examines the benefits of partitioning a database into smaller, workable chunks, rather than an entire monolithic piece.
Although there are many different ideas of what CDP is, it is clear that it must protect data in a manner that is both time-addressable and event-addressable. This white paper explains what this means and gives an overview of effective CDP ...
BalancePoint is helping CareGroup manage application service levels, allowing the IT team to move away from volumetric capacity planning and turn to scenario modeling and "whatif" planning.
ILM applies policies ensuring information is managed throughout its lifecycle. Learn as Data Mobility Group discuss how EMC ILM delivers a tactical solution while laying the groundwork for a much broader and ambitious ILM strategy.
Read this paper to learn how AT&T utilized Informatica Data Archive to bring its database growth under control and improve application performance by reducing the amount of total storage required as well as trimming the amount of time required to load and back up its application data sets.
Check out this E-Guide for tips on backup and data management in today's demanding IT environments. Learn about the "new" information lifecycle management process, discover recent developments in storage tiering (namely automation), receive best practices to help you figure out how much your storage is really costing you and more.
Manual and siloed document processes can leave you literally drowning in paper with higher operational costs, less visibility and reduced agility. ECM can bring greater speed, reliability and efficiency to business processes as well as provide better assurance and process visibility to managing contracts and slash document processing costs.
This eBook examines data governance trends and methodologies for managing governance programs. It covers issues such as new ways of organizing data governance teams and emerging best practices to help organizations succeed with enterprise data governance initiatives. It also provides expert advice on how to design and implement governance programs.
Recent reports expose the monumental growth rate of data volumes. With increasing data volumes comes a need for computational power to absorb and analyze all this data in an attempt to gain a competitive edge. This paper attempts to shed some light on the decision process for selecting a specialty analytic server in today's business environments.