Where virtualization is headed, and what problems (and solutions) lie ahead for IT.
Why data modeling is important in cloud-based BI.
Why isn't data modeling part of agile development?
Why is agile so important to organizations, and how does an organization get to an agile state?
Breaches are targeting application because that's where the data is.
The disaster recovery landscape continues to shift. Here’s what you need to know to leverage the full benefits of disaster recovery and data protection.
A consultant offers BI basics for executives, project managers, and developers.
With so many positions being outsourced, one that remains in-house is the business analyst. We explain how the role of the analyst is changing.
What role does BI architecture play in an agile environment?
We explore the difference “agile” makes in your data warehouse.
When should enterprises consider public and private clouds, and what should they consider when deploying the technology?
What role can -- and should -- free tools play in an IT environment?
Faster, more iterative BI projects promising, but take effort.
Moving your data to the cloud is not without risk. Here's what you need to know about securing your data.
Top BI innovations include mobile devices, social networking
Compliance efforts will also affect the security of your data. We explore the connection and what IT can do to protect its information assets.
We examine the connection between business continuity and disaster recovery, explore what business impact analysis is and who's involved, and the tools available for this analysis.
The value of data quality can be measured as you work.
Before you leap into the cloud, look at these challenges and best practices of managing performance of cloud-based services and applications.
Dealing with multiple job schedulers can be a challenge. We explore the problems, how IT goes about solving them (and how to avoid the typical mistakes), and the solutions available.