Splunk Training in Sud-Vest

This instructor-led live training in Sud-Vest (online or onsite) is aimed at intermediate-level IT administrators who wish to use Splunk to profile and manage IT infrastructure, optimize system architecture, troubleshoot effectively, and leverage Splunk’s capabilities for comprehensive data analysis and real-time monitoring.

By the end of this training, participants will be able to:

• Understand and manage the complete Splunk infrastructure.
• Master Splunk architecture and components.
• Troubleshoot common and advanced issues effectively.
• Utilize Splunk to its full potential for data analysis, monitoring, and reporting.
• Administer data inputs, user management, and system configurations.

This instructor-led, live training in Sud-Vest (online or onsite) is aimed at intermediate-level data analysts who wish to deepen their understanding of Splunk and build upon their foundational knowledge acquired in Splunk Fundamentals 1.

By the end of this training, participants will be able to:

• Conduct advanced searches using Splunk's powerful search commands and capabilities.
• Utilize subsearches, statistical commands, and evaluation functions to analyze data.
• Create sophisticated reports and dashboards with advanced visualization options.
• Implement alerts and scheduled reports for monitoring and notification purposes.

This instructor-led live training in Sud-Vest (online or on-site) is aimed at data analysts and data scientists who want to search, analyze, and visualize data using Splunk.

By the end of this training, participants will be able to:

• Install and configure Splunk.
• Collect and index various types of machine data.
• Perform real-time search, analysis, and visualization of large datasets.
• Create and share complex dashboards and reports.

This instructor-led, live training in Sud-Vest (online or on-site) is aimed at engineers who wish to get data into Splunk Indexers and manipulate data in Splunk.

By the end of this training, participants will be able to:

• Use different data input methods and sources.
• Install, configure, manage and monitor Forwarders.
• Manipulate raw data in Splunk.
• Create a Splunk Diag.