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Content Types
About 120 results
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How far are we from 'In Cloud We Trust?'
Latest surveys indicate a growing number of enterprises are getting more comfortable with the idea of the cloud. Here is a sample of the feedback.
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10 great cloud opportunities for SMBs
These cloud solutions are well-suited to the SMB with a limited budget.
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The $64,000 Question and what it means for big data
How do you achieve a proper balance between business case-driven results and pure data experimentation which yields actionable information?
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Develop a Big Data reporting strategy for all users
Once the analytics have been run against raw data, there have to be effective reporting mechanisms that give users actionable information.
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Why everyone wants a private cloud
Concerns about security and control make the "private" cloud a more palatable model for many companies. How sound is this kind of thinking?
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10 successful big data sandbox strategies
Keep in mind these ten strategies when building and managing big data test environments.
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Big Data and working with what you have
Until organizations get a handle on the full needs and processes for big data, they could be well served by making existing assets work for them.
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10 ways to prevent loss of big data enthusiasm
Big data projects can lose steam once the reality replaces the buzz. Here are some ways to keep it on track and sustain the enthusiasm.
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Success is most likely when the data science team reports to IT
Regardless of how many big data initiatives companies have, most still find that they can only afford one data science team.
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SaaS governance: Five key questions
Increasingly savvy customers are sharpening their requirements for SaaS. Providers must be able to answer these key questions for potential clients.
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Gain performance with big data analytics by overcoming stone-age software
The path toward more effective server utilization in data centers rests in software.
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Ten common virtualization mistakes
Don't lose the benefits of virtualization by neglecting to plan carefully or properly maintain virtualized systems.
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Big data can lead to effective business process reformation
Specific big data can provide operational agility leading to the reformation of business processes and ultimately better performance.
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See if the R language fits in your big data toolkit
The R programming language could challenge SAS for big data queries. Get more details.
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10 ways to combine virtualization and co-location
Enterprises are finding ways to gain efficiencies and save costs by combining the benefits of co-location and virtualization.
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Service will be the next SaaS differentiator
Where most of the focus on SaaS has been on the software side of things previously, as the industry matures, service will be the deciding factor for many.
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Beat the odds in the big data productivity battle
Gartner predicts it will take companies five to ten years to achieve productivity with their big data. Learn six ways to avoid delaying productivity.
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Making virtualization efficient: Three business use cases
Initial cost savings get the attention in virtualization deployments, but the more important results are how it can bring about new business advantages.
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Redefining risk for big data
Machine-driven intelligence introduces risks that challenge traditional IT risk management. Here are three steps to take now.
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How to make big data actionable
C-levels want big data efforts to produce results and ROI. Here are three key points to keep in mind to fulfill these requests.