Overview

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Turn raw Splunk event data into structured, reusable insights with advanced knowledge objects. In this course, you’ll learn to manage knowledge object permissions, enrich events with static, automatic, and time-based lookups, and extract searchable fields using regular expressions and delimiters. You’ll also create GET, POST, and search workflow actions that connect event data with contextual searches and external resources. As you progress, you’ll use tags and event types to classify data, design alerts with trigger conditions and automated actions, and schedule reports for recurring searches. You’ll develop dashboards in XML or HTML, build reusable Splunk macros with arguments, and construct hierarchical data models with enriched attributes and transactions. Finally, you’ll use accelerated data models, pivot tables, and visualizations to interpret data without writing SPL. Designed for data analysts, security professionals, and IT operations specialists who want to move beyond basic Splunk searches, this course develops practical skills for faster investigations, operational intelligence, and informed decision-making. Its progressive, modular structure takes you from knowledge object foundations to advanced data models and pivot analytics, helping you apply Splunk effectively to scalable, real-world business use cases.

Syllabus

Mastering Knowledge Objects Foundations
- This module introduces learners to the concept of Splunk knowledge objects, permissions, and the foundational role of lookups. Participants explore how knowledge objects enrich raw data, manage access, and provide consistent structures for efficient analysis.
Extracting and Enriching Data
- This module focuses on extracting fields from raw events using regex and delimiters, and enhancing searches with workflow actions. Learners practice parsing unstructured data and applying workflow actions to integrate Splunk with external systems.
Workflow, Tagging & Event Types
- This module covers workflow search actions, tagging strategies, and event types for better classification of Splunk data. It also introduces alert fundamentals, enabling learners to detect, categorize, and respond to event conditions.
Reports, Dashboards & Macros
- This module enables learners to manage scheduled reports, design dashboards, and apply Splunk macros for efficient query reuse. Participants gain practical skills in reporting automation, dashboard visualization, and macro-driven search optimization.
Data Models & Pivoting for Insights
- This module dives into Splunk data models, hierarchies, transactions, and pivots to create advanced analytical structures. Learners enhance reporting by leveraging accelerated data models and pivot visualizations to uncover actionable insights.