Timing solutions for big data and clouds

February 21st 2014 · 1 min read · cloud, big data

Clock synchronization can greatly simplify data synchronization tasks, which is a serious matter in big data environments. When all of the data analysis happens in the cloud, the lack of proper accurate timing complicates synchronization tasks. This creates inefficiencies at large scales.

That was before TimeKeeper. Now, with TimeKeeper’s support for virtualized and cloud environments, accurate timing is something users rely on to provide better data and more efficient use of computing resources. In this case report, FSMLabs details how TimeKeeper solves problems in big data environments. Read more here.