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.

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Splunk Knowledge Objects: Analyze & Visualize Data
This course is part of Splunk Analytics & Visualization: From Data to Insights Specialization

Instructor: EDUCBA
Included with 
What you'll learn
Create and manage Splunk knowledge objects and data models.
Implement lookups, regex extractions, and workflow actions.
Build automated alerts, dashboards, and pivot visualizations.
Skills you'll gain
Details to know

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November 2025
20 assignments
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There are 5 modules in this course
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.
What's included
12 videos4 assignments
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.
What's included
12 videos4 assignments
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.
What's included
12 videos4 assignments
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.
What's included
12 videos4 assignments
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.
What's included
16 videos4 assignments
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Frequently asked questions
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
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