By completing the Splunk Knowledge Manager 101, 102 & 103, you will be able to create knowledge objects including lookups, data models, and different types of fields. In addition to this, you will learn to build dashboards and add inputs for filtering.
Splunk Knowledge Manager Specialization
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Splunk Knowledge Manager Specialization
Become a Knowledge Managers create & manage knowledge objects to help interpret, classify, and enrich data, build & accelerate data models, and configure summary-based reports.
Instructor: Splunk Instructor
1,792 already enrolled
Included with 
Get in-depth knowledge of a subject
4.9
(25 reviews)
Intermediate level
Some related experience required
1 month at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
Get in-depth knowledge of a subject
4.9
(25 reviews)
Intermediate level
Some related experience required
1 month at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
What you'll learn
Skills you'll gain
Tools you'll learn
What’s included
Shareable certificate
Add to your LinkedIn profile
Taught in English
11 practice exercises
Advance your subject-matter expertise
- Learn in-demand skills from university and industry experts
- Master a subject or tool with hands-on projects
- Develop a deep understanding of key concepts
- Earn a career certificate from Splunk Inc.
Specialization - 3 course series
What you'll learn
Gain foundational knowledge about machine data and learn how Splunk leverages operational intelligence.
Investigate data using Splunk Search Processing Language (SPL) and create searches, reports, dashboards, and visualizations.
Identify how fields from lookups, calculated fields, field aliases, and field extractions enrich data.
Learn the purpose of knowledge objects and how they can be used to enhance the search process.
Skills you'll gain
Category: Splunk
Category: Business Intelligence
Category: Big Data
Category: Event Monitoring
Category: Business Analytics
Category: Data Modeling
Category: Query Languages
Category: Incident Management
Category: Data Management
Category: Data Analysis
Category: Dashboard
Category: Information Management
Category: Data Processing
What you'll learn
Learn how to perform different types of regex and delimited field extractions and when the field extraction process occurs.
Define, create, and use file-based lookups and identify where lookups fall in the search-time operation sequence.
Add event, search, and transaction datasets to data models and learn how to work with Pivots by creating, configuring, and visualizing a Pivot.
Understand how search modes affect performance by defining and using acceleration and acceleration types.
Skills you'll gain
Category: Splunk
Category: Pivot Tables And Charts
Category: Data Modeling
Category: Geospatial Information and Technology
Category: Business Analytics
Category: Data Store
Category: Data Integration
Category: Data Science
Category: Database Management
Category: Performance Tuning
Category: Big Data
Category: Business Intelligence
Category: Query Languages
Category: Data Manipulation
Category: Data Analysis
What you'll learn
Convert classic dashboards to the Dashboard Studio, define the dashboard definition, manage and troubleshooting dashboards.
Create prototypes, layouts, add and clone visualizations, build dynamic drilldowns, use auto-alignment, customize dashboard backgrounds
Use dynamic coloring for visualizations, set dashboard defaults, define data source types, create search annotations, and more.
Improve dashboard efficiency, schedule, and accelerate reports, use base and chain searches, data models, set dashboard defaults.
Skills you'll gain
Category: Splunk
Category: Extensible Markup Language (XML)
Category: Geospatial Mapping
Category: Data Mapping
Category: Interactive Data Visualization
Category: Performance Tuning
Category: Prototyping
Category: Wireframing
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Instructor
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Frequently asked questions
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.
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Financial aid available,