EGUIDE:
Are the new big data analytics and business intelligence (BI) features in SQL Server 2012 worth the cost of an upgrade for your organization? Is SQL Server's native backup compression or a third-party product best suited to your data warehousing needs? Read this e-guide to find expert advice on both of these questions.
EGUIDE:
Read this expert e-guide to find four tips for boosting SQL Server scalability as well as guidance on determining if solid state disk (SSD) storage is worth the cost for your SQL Server environment.
WHITE PAPER:
You can virtualize SQL Server successfully using VMware Infrastructure. The vast majority of SQL Server deployments are good candidates for virtualization and can benefit from improvements offered by a virtualized infrastructure—such as improved management, availability, and scalability—thus reducing overall TCO.
EZINE:
In this week’s Computer Weekly, we examine exclusive research into the investment priorities of UK IT decision-makers, which shows virtualisation, Windows 7 and security as the top areas for spending this year. We analyse the changing nature of database architecture; and the BBC’s Chief Technology Officer talks about IT plans for the broadcaster.
EGUIDE:
In this expert e-guide, we explore the use of the Azure Management Console, examine its capabilities, and explain how you can achieve even more advanced Azure usage. You'll find out which management tool works best for your business and get the information you need to make a strategic decision.
WEBCAST:
Watch this video to find out why Toad for Oracle is the best solution for database professionals. Find out more about how it combines the functionality available with specialized editions built for a job function. It also offers accured code development and a simpler approach to administration.
EZINE:
This issue’s cover story explains what the SQL Server 2008 R2’s Master Data Services (MDS) feature can—and cannot— do. Also learn how to get the full value out of the SQL Server 2008 BI stack, and how to boost SQL Server performance with data collection and analysis.
