Articles of interest today focus on data visualization (including spatial analytics) and the five common pitfalls of predictive analytics.
Why the federal government is so slow adopting big data, plus teh shift after the tipping point of BI and analytics, plus pointers for moving to the cloud.
Collecting lots of data is inexpensive. Finding the right place to use that data is crucial for getting the greatest benefit.
The Internet of Things (IoT) holds great promise for a more intelligent, efficient, safe, and even anticipatory means of human adaptation to the environment, be it natural or manmade. IoT has the potential to enable improvements to many facets of life. It's enabling the interconnectedness of "things" and resulting insights and synergies, yet that very connectedness raises concerns for security and privacy that must be addressed.
In an era of ever-expanding data volumes and heterogenous data-processing requirements, Vertica really shines, HP officials maintain.
- By Stephen Swoyer
- November 3, 2015
The old barriers keep breaking down, as Cisco demonstrates with its forthcoming Cisco Data Preparation product. The networking behemoth positions its foray into data prep as a complement to its more traditional data virtualization technology.
- By Stephen Swoyer
- November 3, 2015
A new Unisys survey looks at government adoption of big data practices, plus a BI and analytics post tipping point, and best practices for moving to the cloud.