WHITE PAPER:
This white paper describes the advantages of consolidating Microsoft SQL Server database application workloads to a virtualization environment, and introduces a server platform that can help you drive success.
WHITE PAPER:
x86-based Linux platforms may seem like an affordable option for supporting SAP workloads, but ongoing maintenance costs quickly exceed the low acquisition costs of these architectures. Learn about a recommended alternative that can be integrated with virtualization and find out why it is ideally suited for your SAP environment.
WHITE PAPER:
Flash storage technologies can immediately address the performance and I/O latency problems encountered by many database deployments. Read this white paper to learn how NetApp flash storage solutions can be used to accelerate performance for Oracle database environments.
WHITE PAPER:
This paper outlines Oracle's approach to overpricing one part of a database solution to compensate for another part, leading to a much higher total cost of ownership (TCO). Read this now to learn more about the evolution of TCO, Oracle's pricing strategy, IBM's pricing strategy and so much more.
WHITE PAPER:
With IBM Informix Warehouse and the Intel Xeon processor E7 family, IBM and Intel are partnering to deliver superior performance for in-memory analytics processing – helping you turn massive amounts of data into business opportunities.
WHITE PAPER:
The intent of this paper (neither explain SQL Server 2012 nor be a EMC buying guide ) is simply to highlight enough information on each, so that IT managers can focus on the database system and storage hardware relationship.
WHITE PAPER:
This white paper from Bloor Research examines how IBM's database Informix can be used in a hybrid transactional/analytics environment or for data warehousing applications in today's big data world.
WHITE PAPER:
A recent IOUG survey discovered that while most organizations have a well-established data warehouse, acceptance within their companies is still limited. Inside this exclusive study, learn how companies can start taking more advantage of their data warehousing systems to successfully manage the growing amounts of “big data".
