EMA Research Report Delves impact of Big Data in IT Infrastructure Transformation

By CIOReview | Tuesday, July 28, 2015
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BOULDER, CO: Enterprise Management Associates (EMA), a leading IT and data management research and consulting firm, publishes its latest research report titled “Big Data Impact on IT Infrastructure and Management”, based on the criteria defined by Shamus McGillicuddy, Senior Analyst of Network Management at EMA.

The origin and evolution of Big Data collection and analytics have been closely followed by EMA analysts; especially the use and relevancy of data in IT planning and operations.

“This research uncovers exactly how big data analytics affects the behavior and performance of IT infrastructure, and it also reveals how those impacts are affecting the planning and operational practices of the IT organizations that are experiencing those impacts,” says McGillicuddy.

IT planning and operations has brought more relevance to big data. For instance, 60% of enterprises revealed that they were using big data analytics to support one or more network management practices in the April 2014 study, "Managing Networks in the Age of Cloud, SDN, and Big Data: Network Management Megatrends 2014." This study also found that 40% of enterprises had experienced measureable impacts on the behavior of their network infrastructure due to the presence of big data projects.

The study also attempts to get an insight into the security, storage and network; kinds of data collected for analytics purposes; effects of big data analytics for hybrid IT infrastructure planning and operations practices.

 

One of the key findings of the study is that the impact of big data implementation is felt maximum by storage systems, nearly 58 percent; closely followed by networks, whose performance are affected by big data collection (45percent) and backups of big data repositories (46percent).

Another revelation is that exporting of IT monitoring data into big data environments for advanced analysis is basically undertaken for enhancing capacity planning practices. The most common use case was identified as storage capacity planning (70percent). The other use cases were server capacity planning (66percent) and network capacity planning (57percent). Among enterprises that export IT monitoring data to big data environments, application performance data (59percent) is the most popular data type.

Finally, the most popular benefits of investments in big data analytics for IT were found to be more efficient use of infrastructure capacity (46percent), a proactive ability to prevent problems (45percent) and more efficient use of IT operational expenses (45percent).

As enterprises get started with big data, storage systems feel the greatest impact from the technology (58 percent), followed by networks, whose performance are affected by big data collection (45percent) and backups of big data repositories (46 percent). However, as enterprises gain experience with big data and expand their use of it, the infrastructure impacts become more widespread, affecting the behavior and performance of server systems and cloud services; Export of IT monitoring data to big data environments, application performance data (59percent) is the most popular data type. For beginner user of big data it is only 28% while for advanced users, it is 54 percent; Enterprises report many benefits from their investments in big data analytics for IT, the most popular being more efficient use of infrastructure capacity (46 percent), a proactive ability to prevent problems (45 percent ) and more efficient use of IT operational expenses (45 percent ).

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