Thursday, 27 October 2011

Wooed by the Cloud? Before You Cheat, Get a Prenup

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Integrating the Enterprise October 27, 2011
Listening to the CIO session at Gartner's annual Symposium, Larry Dignan of ZDNet wrote, was like being at a conference of bad marriages. IT buyers want out — some even have SaaS "mistresses" on the side. There are a lot of reasons why CIOs might want to ditch the big vendors, just as there are legitimate reasons to dissolve a marriage. Certainly, enterprises have a long list of very real grievances against mega-vendors and their expensive software, including years of being jerked around by upgrade cycles, the fact that you have to invest in a software ecosystem to get them to do what you want, and integration challenges. Read more >
Extending the Business Benefits of Cloud Storage
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Instant Access:  New Cloud Computing Virtual Briefing Centers Redefining Server Performance Benchmarks
 
Check out this resource center to a high-performance, low-cost application solution for your data center needs. Go there now >



A big factor in ensuring that your IT team is able to meet changing business demands is having a firm handle on the capacity of your current infrastructure. You don't want to get blindsided with the news that your Web servers can't handle the traffic spike from a planned promotion; you also don't want to buy a bunch of unnecessary hardware "just to be on the safe side."

Gartner, Inc. recently highlighted the top 10 technologies and trends that will be strategic for most organizations in 2012. They define a strategic technology as one with the potential for significant impact on the enterprise in the next three years. Factors that denote significant impact include a high potential for disruption to IT or the business, the need for a major dollar investment, or the risk of being late to adopt.

ETL (Extract, Transform and Load) is a key, and very complicated, component of a data management strategy. This high-level checklist of the most central issues will help you get started with this critical data warehousing issue.

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