Course Code: splunk2
Duration: 14 hours
Prerequisites:
  • Basic understanding of search and reporting operations within Splunk
  • Familiarity with the concept of indexing and the basic structure of Splunk data
  • Basic knowledge of statistical functions

Audience

  • Data analysts
  • Data administrators
  • IT professionals
Overview:

Splunk is a software platform widely used for searching, monitoring, and analyzing machine-generated big data via a web-based interface.

This instructor-led, live training (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.

Format of the Course

  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.
Course Outline:

Introduction

  • Overview of Splunk Fundamentals
  • Review of basic searching principles

Advanced Searching Techniques

  • Introduction to advanced search commands
  • Utilizing sub-searches and conditional statements
  • Application of statistical functions for data analysis
  • Exploration of evaluation functions and their use cases
  • Introduction to transaction searches

Enhancing Reports and Dashboards

  • Advanced visualization techniques
  • Implementing drill-downs and interactive elements
  • Creating and managing reports with advanced formatting
  • Building complex dashboards and reports

Automation and Efficiency

  • Setting up alerts and scheduled reports
  • Best practices for alert management and review of alert actions
  • Introduction to macros in Splunk
  • Creating and using macros to simplify complex searches
  • Purpose and basic construction of data models

Practical Applications

  • Implementing advanced features in real-world scenarios
  • Best practices

Summary and Next Steps

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