Learners will configure, analyze, and manage Splunk configuration files, indexes, and data lifecycle processes to ensure efficient, reliable, and compliant data operations. By the end of this course, learners will be able to apply configuration precedence rules, troubleshoot merge conflicts, manage indexes and retention policies, and monitor indexing activities in real-world Splunk environments.

This course provides hands-on, project-oriented learning focused on Splunk configuration architecture and index management—two critical skills for Splunk administrators and data engineers. Learners gain practical experience working with configuration directories, index-time and search-time processing, btool validation, index sizing, retention strategies, backups, and data recovery. Each module builds progressively, connecting foundational concepts with advanced operational practices used in production Splunk deployments. What makes this course unique is its end-to-end focus on how configuration decisions directly impact data storage, performance, and reliability. Rather than treating configuration and indexing as isolated topics, the course integrates them into a complete operational workflow. Upon completion, learners will be well-prepared to manage Splunk environments confidently, reduce configuration errors, optimize storage usage, and support scalable, enterprise-grade data platforms.