
Authoritative.
Strategic.

Hoping to entice more enterprises to use the R statistical programming language directly within their predictive modeling and data visualization jobs, Tibco has released a free version of its R runtime engine.
Big data may seem to promise big insights to users, but more isn't always better, cautions statistician Nate Silver, who became one of America's most well-known faces of data analysis after his FiveThirtyEight blog accurately predicted 2012 presidential election results in all 50 states.
As powerful and beneficial as flash storage can be, many organizations are overspending on capacity they don't need, deploying flash in the wrong places, and inefficiently spending on flash applications that are not appropriate for their real business objectives.
Infor is planning to offer customers a cloud-based data warehouse and analytics platform based on its own ION and Business Vault technology as well as Amazon's Redshift service.
Oracle's total revenue dipped 1 per cent and profits remained almost flat in its most recent quarter, as revenue from new software licenses and cloud services dropped by 2 per cent.
In-memory analytics, like virtualization and the cloud, is an old idea that's been given new life. In this case, the combination of big data, inexpensive commodity storage and parallel processing make it possible to analyze terabytes of data without slowing systems to a crawl.
An easy step-by-step guide to setting up a MySQL database server, along with phpMyAdmin, on Fedora, CentOS, or Ubuntu
Hadoop is nearly synonymous with the analysis of big data. The Hortonworks Data Platform on Windows is significant as it means that companies lacking Linux expertise will finally be able to benefit from the big data analysis platform, which has been out of the reach of Windows shops.
Failed expectations, increased costs, unnecessary legal risks -- going blind into a big data project doesn’t pay
Big Data is clearly a disruptive technology, but using it successfully is as much art as it is science. The key is integrating Big Data with traditional BI to create a data ecosystem that allows you to generate new insights while executing on what you already know.
To make more efficient use of data and improve data protection, take a holistic approach to information governance-one that focuses attention on the most sensitive data while removing impediments to sharing.
Social networks are dead, and smart VC money is pouring into enterprise startups like Shoutlet, Asana, Narrative Science, and Delphix
The risks facing high-speed data networks and unencrypted data while in motion are very real and on the rise. As information becomes one of the most valuable ‘off balance sheet’ assets, protection of that information and the investment in it is a paramount obligation of office-holders and management. Read now for a better understanding of the risks to data in motion.
Key mobile trends and analysis on how performance testers must change their testing methodologies to ensure they are accounting for the changes caused by mobile usage. Download today.
The nature of work has changed fundamentally and forever and it continues to evolve rapidly. Geographic distance and ...