What should a CIO consider when moving to Paas? What criteria should the CIO use, and what misconceptions about the cloud must be overcome?
Traditional deep packet inspection may no longer be able to protect your environment. We look at a new approach -- deep content inspection.
As the buzz over big data grows, what's changed in the last year? How has machine-generated data changed the way IT tackles big data?
These steps will help you begin building and executing a defensible deletion strategy.
Big data is changing the competitive dynamics of the BI industry. We explore how everything from sensor data to social media to mobile BI is changing the very nature of big data.
What’s driving big data analytics, and how can integrating search help BI professionals better work with the data?
Don't know how to get started with your big data project? BI start-up Cirro claims to have just what you're looking for.
Thanks to the ubiquity of firewalls, security administrators have no shortage of options and solutions. We examine the state of firewall management in today's data center.
Outsourcing activity grew by 7.8 percent last year, with Indian-based providers and cloud-based services reaping most of the benefit.
Load balancers play a vital role in any organization where productivity must remain high. Here are five reasons you need to put a load balancer to work in your environment.
No single technology can enable a fully secure network. The three-layer model we present can guide your organization in making key improvements to your network security.
Nothing can stop the deluge of data, so IT must be savvy and implement solutions that target critical business processes and have the technology to successfully parse and engage with meaningful data sets to stay competitive.
With so much data in so many places, how can you quickly connect to the sources you need? Data virtualization may be the answer.
Lack of a business intelligence strategy can hamstring your business and prevent BI from delivering on its promise -- and even more so when you're working with big data.
Big data and cloud computing are two top-of-mind technologies. What benefits can IT enjoy by bringing them together?
If IT's too costly, that's because it's too labor-intensive. IBM positions PureSystems as a focused effort to cut -- if not slash -- these labor costs.
Intelligent desktop virtualization can complement or upgrade your VDI implementation to save you money and aggravation, and it doesn't require a rip-and-replace project.
Every IT pro knows the benefits of automation. The question is: where should IT start, and where is autonomics headed?
LinkedIn userIDs not compromised in leak of nearly 6.5 million (mostly now unencrypted) records.