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.

Splunk Knowledge Objects: Analyze & Visualize Data

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

Instructor: EDUCBA
Access provided by UNext Learning
Gain insight into a topic and learn the fundamentals.
2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
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
- Data Integration
- Continuous Monitoring
- Text Mining
- Data Analysis Expressions (DAX)
- Data Modeling
- Management Reporting
- Workflow Management
- Scheduling
- Data Manipulation
- Taxonomy
- Statistical Reporting
- Data Transformation
- Pivot Tables And Charts
- Data Visualization Software
- Data Wrangling
- Unstructured Data
- Event Monitoring
Tools you'll learn
Details to know

Shareable certificate
Add to your LinkedIn profile
Assessments
20 assignments
Taught in English
Recently updated!
November 2025
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Build your subject-matter expertise
This course is part of the Splunk Analytics & Visualization: From Data to Insights Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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- Gain a foundational understanding of a subject or tool
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