Analyze Windows Data Ingestion with Splunk Projects

By the end of this course, learners will be able to configure Windows and agentless inputs, ingest data using multiple Splunk methods, parse and normalize events accurately, manage timestamps and time zones, and classify data effectively for reliable analysis. This hands-on, project-focused course is designed to help learners build strong, practical expertise in Windows data ingestion and processing using Splunk. You will explore Windows-specific inputs, agentless collection techniques, HTTP Event Collector (HEC), and PowerShell-based data ingestion, gaining a clear understanding of when and why to use each approach. The course also dives deep into parsing fundamentals, including event boundaries, multi-line events, timestamp extraction, and the use of props.conf for data transformations. Learners benefit by developing job-ready skills that are directly applicable to real-world Splunk environments, especially those managing complex Windows infrastructures. What makes this course unique is its end-to-end project orientation: rather than isolated concepts, you will see how inputs, parsing, metadata, and classification work together in a complete data onboarding workflow. This structured, practical approach ensures you can confidently design, troubleshoot, and optimize Splunk data ingestion pipelines in professional settings.