Home News Explaining the Big Data Productivity Gap By January 30, 2015 The slow adoption and lack of productivity associated with Hadoop and other big data technologies likely stems from poor planning and lack of big data training and expertise, among other factors. Complete Story Facebook Twitter Linkedin Email Print Previous articleStartup Applications: automatic execution of the most used programs during every user login Next articleHow to Upgrade Linux Kernel to Stable 3.18.4 on CentOS 7.x Get the Free Newsletter! Subscribe to Developer Insider for top news, trends, & analysis Email Address By subscribing, you agree to our Terms of Use and Privacy Policy. Subscribe Must Read Developer Bat is a Modern Drop-in Replacement for Cat Command on Linux Developer How to Use Pop Shell on GNOME Desktop Developer 5 Popular Linux Distros to Run on a VPS News Navidrome 0.52 Music Server Rolls Out with Key Updates News Garuda Linux Releases “Bird of Prey” with Plasma 6 Integration