In today’s society, the impact of big data is seen everywhere. This is especially the case with social media networks, cloud-based solutions for organizations, and enterprise-wide IT systems. As a result of this phenomenon, the size of log files (e.g., Windows Event Logs, Web Logs, Firewall Logs, SIEM Logs) has increased exponentially because of user-based activity and maintenance and operations activity. In addition, the log file storage retention requirements have increased, this leads to log files exceeding the Terabytes (TB) and sometimes the Petabytes (PB) range. With the explosion in log file size it is becoming increasingly difficult to conduct log file analysis. It is of utmost importance that an analyst follows a solid log analysis methodology reinforced with a capable platform in order to successfully process log files and find artifacts of value to yield accurate results.
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