Splunk Fundamental 3 Course Overview

Target Audience for Splunk Fundamental 3

Splunk Fundamental 3 is an advanced IT course designed for professionals seeking to master Splunk's statistical and analytical capabilities.

• Data Analysts
• IT Operations Analysts
• Security Analysts
• Systems Administrators
• Network Engineers
• DevOps Engineers
• Business Intelligence Specialists
• Splunk Power Users
• Data Scientists with a focus on real-time data analysis
• Compliance Officers managing large datasets
• Technical Support Staff who analyze system performance and issues
• Incident Response Team Members
• Performance Engineers
• Database Administrators looking to leverage Splunk for insights
• Software Developers integrating Splunk into their applications for analytics

Learning Objectives - What you will Learn in this Splunk Fundamental 3?

Introduction to Learning Outcomes and Concepts Covered

The Splunk Fundamental 3 course empowers students with advanced skills in statistical analysis, lookups, alerts, field management, macros, and data acceleration, enhancing their proficiency in Splunk data processing and reporting.

Learning Objectives and Outcomes

• Master statistical functions within Splunk, enabling complex data analysis and interpretation using the stats command and related statistical functions.
• Utilize conversion, date/time, string, comparison, conditional, informational, statistical, mathematical, and cryptographic functions to manipulate and refine search results.
• Implement various lookups, including KV Store, external, geospatial, and database lookups, applying best practices to include or exclude events effectively.
• Develop proficiency in creating, managing, and referencing lookups in alerts, and learn to output alert results for enhanced monitoring and response.
• Gain expertise in advanced field creation using regex and Splunk's rex command, while understanding best practices for regular expressions to optimize searches.
• Work with self-describing data using the spath command, and manage complex data extraction from table-formatted events with multikv.
• Create and utilize advanced search macros, including nested macros, and leverage tags and event types to streamline complex search operations.
• Enhance search efficiency with acceleration options such as report acceleration and summary indexing, reducing search runtime and improving performance.
• Explore and accelerate data models using the datamodel command, and manage large datasets with tstats and tsidx files for faster data retrieval.
• Understand the use of webhook alert actions, logging and indexing searchable alert events for comprehensive monitoring and actionable insights.