EMA Research: Enabling Enterprise IT Management to Optimally Support Big Data


What does Big Data mean to traditional enterprise IT? Organizations of any size and industry are becoming more and more aware of the incredible importance of capturing, managing and analyzing the data available to them. The more comprehensively companies are able to tap structured and unstructured data sources, the quicker they can refresh this data [...]



The State of the Software Defined Data Center


Of course, I always encourage practitioners to carefully study the full EMA research report on the “Obstacles and Priorities on the Journey to the Software-Defined Data Center” or at least read the research study summary or at the very least join the EMA SDDC Research webinar on February 18, but I still want to briefly [...]



On the Importance of Workload Automation in the Age of Cloud and Big Data


With its roots in mainframe job scheduling, workload automation is often seen as a relic in today's age of cloud, Big Data, mobile management and DevOps. Do we even still need workload automation as a separate discipline or should we simply roll the management of batch jobs into other automation disciplines, such as IT process [...]



EMA Radar for Workload Automation 2012 – Key Findings


During this year's research for the 2012 EMA Workload Automation (WLA) Radar Report, we encountered a number of very interesting core findings. These research results mostly originated from dozens of conversations with end customers, who have been using WLA software for many years and sometimes even for decades. WLA, by definition, is a mature discipline, [...]



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