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Access "Four tips on boosting SQL Server scalability"

Don Jones, Contributor Published: 13 Oct 2012
Top three SQL Server Denali features to watch

This article is part of the March 2011, Vol. 5 issue of Top three SQL Server Denali features to watch

Scaling out a SQL Server environment across multiple systems can be a difficult and complicated project, involving partitioned databases, federation and more. So, when it comes to SQL Server scalability, most organizations prefer to scale individual systems up as much as possible before trying to tackle the out option. Here are four tips for making the scale-up process easier and more effective. For more on SQL Server scalability and SQL Server performance Find 3 hardware upgrades to ratchet up SQL Server scalability Learn about SQL Server scalability features in Denali, Microsoft’s next release Get indexing tips to improve SQL Server performance Compare SQL Server performance in 32-bit, 64-bit platforms Maximize SQL Server performance components. Every server’s performance comes down to four basic components: memory, disk storage, network adapters and CPU. Your first step will be to maximize all four of these components in an existing server. Start with memory – it can have the biggest impact and it’s usually the most easily expanded piece of a server. ... Access >>>

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    • Top reasons to get started with SQL Server Denali by Roman Rehak, Contributor

      The upcoming SQL Server Denali is chock-full of new features, such as super-fast column-store indexes and a new Web-based reporting tool. But what does it mean for businesses?

    • Four tips on boosting SQL Server scalability by Don Jones, Contributor

      SQL Server scalability is high on the list of system properties, and scaling up is easier than scaling out. Follow these four tips and you’ll be on your way to optimum performance.

    • Importing SQL Server data into PowerPivot for Excel by Robert Sheldon, Contributor

      Microsoft PowerPivot is designed to give BI capabilities to users who lack IT’s technical know-how. The first step is importing SQL Server data, and you have to know your options.

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