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 and the more successfully they make this body of data available to all business units, the better they can develop advantages in the market place. Today’s business units are demanding the rapid implementation of these big data use cases, as well as optimal resiliency, cost efficiency, security and performance.
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, as it started during the beginning of mainframe times, then became more complex when organizations adopted distributed computing, and today is faced with a new challenge: the cloud. Please take a look at what our research showed as the most important aspects of a modern WLA solution. The following vendors were included in the report: Arcana, ASCI, ASG, BMC, CA Technologies, Cisco, Flux, MVP Systems, Network Automation, ORSYP, Stonebranch, UC4.