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Organizations have an analytics project right in front of them — log data created by the machines and systems they already have deployed. Analysis of this data can lead to better decisions, problem detection and tighter security. Splunk is a leading solution to perform analysis of log data, and as a result is very popular in the traditional enterprise. But Splunk does create storage challenges, and overcoming those challenges will speed the analysis and lower the cost of storing log data.
Splunk does an excellent job of managing data, moving data between tiers which it calls buckets. But assigning Splunk to data management tasks takes compute power away from the primary objective — rapid data analysis. In this live webinar Storage Switzerland and Tegile will discuss how the default Splunk architecture works today, what the challenges with that architecture are and how to design a storage architecture for Splunk that is both high performance and cost effective.
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