There are many tools to analyze and rank Twitter users, but a new one takes a trick from Google's book. Trst.me uses an algorithm similar to Google's PageRank to give any Twitter user a score from one to 10 based on their followers' networks of followers.
One of the more subtle trends starting to emerge as 2014 approaches is that end users are increasingly self-servicing their data integration requirements. As integration services continue to mature in the cloud, the days of end users' dependence on developers to connect various sets of data are coming to a close. A case in point is Adeptia, a provider of data and application integration software that plans to extend the reach of its software directly to end users.