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Splunk Knowledge Manager 102

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Splunk Knowledge Manager 102

This course is part of Splunk Knowledge Manager Specialization

Instructor: Splunk Instructor

Included with

Learn more

4 modules

Gain insight into a topic and learn the fundamentals.

20 reviews

Beginner level

No prior experience required

4 hours to complete

Flexible schedule

Learn at your own pace

4 modules

Gain insight into a topic and learn the fundamentals.

20 reviews

Beginner level

No prior experience required

4 hours to complete

Flexible schedule

Learn at your own pace

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

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

4 assignments

Taught in English

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Build your subject-matter expertise

This course is part of the Splunk Knowledge Manager Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 4 modules in this course

In this course, you will learn how fields are extracted and how to create regex and delimited field extractions. You will upload and define lookups, create automatic lookups, and use advanced lookup options. You will learn about datasets, designing data models, and using the Pivot editor. You’ll improve search performance by creating efficient base searches, accelerating reports and data models, and how to use the tstats command.

Module details

This module is for knowledge managers who want to learn about field extraction and the Field Extractor (FX) utility. Topics will cover when certain fields are extracted and how to use the FX to create regex and delimited field extractions.

What's included

5 videos2 readings1 assignment

This module is for knowledge managers who want to use lookups to enrich their search environment. Topics will introduce lookup types and cover how to upload and define lookups, create automatic lookups, and use advanced lookup options. Additionally, students will learn how to verify lookup contents in search and review.

What's included

10 videos2 readings1 assignment

10 videosTotal 25 minutes

Introduction0 minutes
What is a Lookup?1 minute
Search Time Operations Sequence1 minute
Introduction to Lookups3 minutes
Creating Lookups7 minutes
Automatic Lookups2 minutes
Geospatial Lookups2 minutes
External Lookups3 minutes
KV Store Lookups4 minutes
Best Practices for Lookups2 minutes

2 readingsTotal 40 minutes

Learning Objectives30 minutes
Lesson Notes10 minutes

1 assignmentTotal 5 minutes

Enriching Data with Lookups5 minutes

This module is for knowledge managers who want to learn how to create and accelerate data models. Topics will cover datasets, designing data models, using the Pivot editor, and accelerating data models.

What's included

5 videos2 readings1 assignment

This module is for users who want to improve search performance. Topics will cover how search modes affect performance, how to create an efficient basic search, how to accelerate reports and data models, and how to use the tstats command to quickly query data.