Splunk Fundamentals 2 Course Overview

Splunk Fundamentals 2 Course Overview

The Splunk Fundamentals 2 course is an intermediate level training that builds upon the basics covered in Splunk Fundamentals 1. This course is designed to help learners deepen their understanding of the Splunk platform and its analytical capabilities. It includes a variety of modules that cover advanced searching, reporting, and the creation of knowledge objects such as fields, macros, and data models.

Through the course, participants will learn how to optimize their searches, create sophisticated reports and dashboards, and manage Splunk knowledge objects efficiently. The use of the Common Information Model (CIM) Add-On is also covered, which is essential for normalizing data, ensuring that it's compatible with other datasets and making it easier to analyze.

Buttercup Games Inc. serves as a case study throughout the course, providing a real-world context to apply the skills learned. The lab environment allows for hands-on practice, ensuring that learners can apply the concepts in a practical setting. By the end of the course, participants will have a solid foundation to harness the full potential of Splunk for operational intelligence and data-driven decision-making.

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Target Audience for Splunk Fundamentals 2

The Splunk Fundamentals 2 course is designed for professionals looking to deepen their skills in data analysis and visualization using Splunk.


  • Data Analysts
  • IT Operations Professionals
  • Security Analysts
  • Network Engineers
  • System Administrators
  • DevOps Engineers
  • Compliance Auditors
  • Business Analysts
  • Splunk Power Users
  • Technical Support Staff
  • Software Developers interested in data analytics


Learning Objectives - What you will Learn in this Splunk Fundamentals 2?

Introduction to Learning Outcomes:

The Splunk Fundamentals 2 course equips students with advanced skills to search, analyze, and visualize data in Splunk, enhancing their data management and reporting capabilities.

Learning Objectives and Outcomes:

  • Understand advanced search techniques and optimize search performance using the job inspector.
  • Utilize transforming commands to create structured data for visualizations like charts and graphs.
  • Implement mapping and single value commands for geographical data analysis and display.
  • Apply filtering and formatting techniques to refine search results and improve data readability.
  • Correlate events to identify patterns and relationships between disparate data points.
  • Create and manage knowledge objects to standardize data analysis across the Splunk platform.
  • Perform advanced field extractions using regex and delimiters to tailor data parsing.
  • Develop field aliases and calculated fields to streamline data analysis and reporting processes.
  • Design tags, event types, and macros to automate common search and reporting functions.
  • Use the Common Information Model (CIM) Add-On to normalize data, ensuring consistency across various data sources.

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