Workforce and Careers
If you're looking to get one or more Hadoop certifications, you might want to consider the free, self-service training MapR provides which includes certification testing upon completion of the course.
"A shift needs to be made from big data technology, infrastructure setting up to enabling managers to engineer better decisions through data. We define this shift as Decision Engineering--the way to take power out of data and use it to make better engineered business decisions is the next big thing in 2015," says Titir Pal, director of products and solutions at Absolutdata Analytics.
According to Matt Asay at ReadWrite, big companies are struggling with big data in part because of a lack of data scientists who he says are now paid in excess of $123,000 a year--and that pay scale is rising.
Many organizations are focused on measuring productivity and efficiency and view the hiring and retaining of intelligent employees with specific skill sets to be essential for both. However, group intelligence may be of more importance than individual intelligence to achieving market advantage.
This infographic in particular is of interest to data scientists everywhere. The information within came from CrowdFlower's poll of their team of data scientists on what they think will be "hot" or "not" in their world for 2015.
Eight human traits that hamstring us in the competition with machines for jobs (and how to fix them)
Automation has replaced many jobs and it's on course to replace far more. So how can mere humans compete and keep their jobs? Edward D. Hess, a professor at the University of Virginia's Darden Graduate School of Business, says first we must "overcome our humanness."
There is a team of researchers hard at work in unraveling the genetic and environmental contributors. The work is far from finished but it represents the incredible advances in a number of technologies leading to knowledge that was once far beyond our reach.
Visier's new release includes succession planning, employee recognition, talent flow analytics, automated personalized reporting, and even a one-of-a-kind interactive talent flow visualization that enables` real-time analysis of how people have developed in their careers and moved over time.
It was a bit of a shocker to hear Pivotal announce last week that it was laying off 60 employees, the majority of which worked on Pivotal's big data projects. Is this a sign that demand is dwindling or simply a reflection of a flaw in Pivotal's business strategy?
Before big data, creators were free to create on a whim and as inspired. With big data, the creation is determined first and the artist often determined afterwards. This new process feels, well, wrong. But is it really?