Practice: Process logs with Apache Hadoop
Extract useful data from logs using Hadoop on typical Linux systems
From the developerWorks archives
Date archived: April 18, 2019 | First published: May 30, 2012
Logs are an essential part of any computing system, supporting capabilities from audits to error management. As logs grow and the number of log sources increases (such as in cloud environments), a scalable system is necessary to efficiently process logs. This practice session explores processing logs with Apache Hadoop from a typical Linux system.
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