Splunk Training: Operational Data Analytics with Splunk

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Course duration

Course Benefits

  • Splunk components
  • Data sources
  • SPL
  • Forwarders
  • Data visualizations

Course Outline

  1. Splunk Introduction
    1. Splunk Defined
    2. Splunk Products
    3. The Magic Quadrant for Security Information and Event Management (SIEM)
    4. Splunk Editions
    5. Deployment Options
    6. Common Components
    7. Splunk Admin Dashboard (Web UI)
    8. Events
    9. Data Indexing
    10. Distributed Splunk Indexing and Searching
    11. Architecture for a Multi-Tier Splunk Enterprise Deployment
    12. Summary
  2. Splunk Data Sources
    1. Data Source Types
    2. The Source Types Automatically Recognized by Splunk
    3. The “Pre-trained” Source Types
    4. Windows ® Data Sources
    5. Data Indexing
    6. Web UI for Adding Data to Indexer
    7. Web UI: Adding Data Flow for Local File Upload
    8. Web UI: Add Data for Monitoring
    9. Automatic Recognition of Data Source
    10. Where is My Uploaded File?
    11. Custom Event Format
    12. Summary
  3. Searching and Reporting with Splunk
    1. Data Searching
    2. The Search Processing Language (SPL)
    3. Searching and Reporting Activities
    4. The Search Page
    5. Core Search Concepts
    6. Search Command Auto-Completion
    7. The Search Basics
    8. Search Command Categories
    9. Command Examples
    10. More Examples of Search Commands
    11. Statistical Commands
    12. Statistical and Time Functions
    13. From SQL to SPL – the Translation Table
    14. Visual Aids for Building Search Queries
    15. Visualizations
    16. Save Your Searches as Dashboards
    17. The Delete Operation
    18. How Do I Delete My Data?
    19. Summary
  4. Splunk Forwarders
    1. Flavors of Splunk Forwarders
    2. Forwarder Comparison Table (Abridged)
    3. The Splunk Forwarder Diagram
    4. Splunk Universal Forwarder (UF) Supported OSes
    5. UF Functions
    6. What UF Cannot Do
    7. Summary

Class Materials

Each student will receive a comprehensive set of materials, including course notes and all the class examples.

Class Prerequisites

Experience in the following is required for this Hadoop class:

  • General knowledge of programming using SQL as well as some experience working in UNIX environments (e.g., running shell commands, etc.).
Since its founding in 1995, InterSource has been providing high quality and highly customized training solutions to clients worldwide. With over 500 course titles constantly updated and numerous course customization and creation possibilities, we have the capability to meet your I.T. training needs.
Instructor-led courses are offered via a live Web connection, at client sites throughout Europe, and at our Geneva Training Center.