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Coursera

Splunk Knowledge Objects: Analyze & Visualize Data

EDUCBA via Coursera

Overview

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By the end of this course, learners will be able to define Splunk knowledge objects, implement lookups, apply regex and delimiter-based field extractions, execute workflow actions, categorize data with tags and event types, design automated alerts, manage scheduled reports, develop dashboards, create reusable macros, and build accelerated data models with pivot visualizations. This advanced-level course is designed for professionals who want to move beyond basic Splunk searches and analyze, enrich, and visualize data with precision. Participants will benefit by gaining practical, hands-on skills in transforming raw event data into structured insights, enabling faster investigations and more effective decision-making. What makes this course unique is its modular approach, where each section builds progressively from foundational knowledge objects to advanced data models and pivot analytics. Learners will not only master technical configurations but also understand how to optimize Splunk for scalable, real-world business use cases. Whether you are a data analyst, security professional, or IT operations specialist, this course empowers you to leverage Splunk as a strategic platform for operational intelligence.

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.

Taught by

EDUCBA

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