We look at impact of mobile, cloud, big data, and social media on IT in 2012 and how the technologies will be important in 2013.
Cloud computing, mobile applications, and big data coalesced in 2012 and will shape IT in 2013 and beyond.
Not surprisingly, big-data-a-la-Big-Blue has a distinctly dollars-and-cents flavor to it.
Cut the cost and improve the accuracy of SAP system copy chores.
What you need to know about Hadoop benefits, scalability, and best practices.
Social content is rich with information, but integrating it with other enterprise data can leave it isolated and unused. We explore how to wisely integrate the two.
Although relational databases will continue to be used for high-speed online transaction processing, conventional relational databases have clearly exhausted their usefulness for business analytics. What’s ahead for database technology?
Tight budgets led to look closely at the cloud and encryption solutions. What will grab IT’s attention in 2012?
Disaster recovery is a growing part of IT's budget, but IT still needs quicker, more efficient, and more affordable backup and recovery solutions into one seamless process.
IBM and Oracle aren't the only games in town when it comes to getting data into -- and out of -- mainframe environments.
Updating applications with current technology means IT must make sure no data is left behind.
What is unstructured data and how should IT search on and store it?
Users can execute fast, accurate file data migrations seamlessly
Big data, virtualization, and IT vendor consolidation made headlines this year, but where are these trends headed in 2011?
Virtualization’s great promise may be compromised if virtual machines can't be easily recovered.
Top four questions to ask when selecting an enterprise content management solution
The database industry is at a crossroads, but few agree on where things are headed.
Four reasons IT executives charged with business continuity planning, risk management, and disaster recovery must consider their employees and operations heavily in their plans.
This approach can help you achieve data classification results dramatically faster than conventional methods.
A simple and affordable change you can make today can mitigate the risks of the DNS layer.