In this course, you will learn how to calculate co-occurrence between fields and analyze data from multiple datasets, increase your knowledge of searching and learn how to work with multivalue data. In addition, you will learn tips and tricks to improve search performance using accelerations.
Splunk Search Expert 103
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Splunk Search Expert 103
This course is part of Splunk Search Expert Specialization
Instructor: Splunk Instructor
2,448 already enrolled
Included with 
Gain insight into a topic and learn the fundamentals.
4.7
(41 reviews)
Beginner level
No prior experience required
4 hours to complete
3 weeks at 1 hour a week
Flexible schedule
Learn at your own pace
What you'll learn
Use specific commands to calculate co-occurrence between fields and analyze data from multiple datasets.
Understand how components of a search are broken down and processed across the Splunk data pipeline and how to troubleshoot searches.
Manipulate, evaluate, and analyze multivalue data and create multivalue fields in search with multivalue eval commands and functions.
Improve search performance by understanding search best practices, accelerating repots and data models to optimize frequently accessed data.
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
4 assignments
Taught in English
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This course is part of the Splunk Search Expert Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 4 modules in this course
This module is for users who want to learn how to calculate co-occurrence between fields and analyze data from multiple datasets. Topics will focus on the transaction, append, appendcols, union, and join commands.
What's included
10 videos2 readings1 assignment
This eLearning module gives students additional insight into how Splunk processes searches. Students will learn about Splunk architecture, how components of a search are broken down and distributed across the pipeline, and how to troubleshoot searches when results are not returning as expected.
What's included
9 videos2 readings1 assignment
This module is for users who want to become experts on searching and manipulating multivalue data. Topics will focus on using multivalue eval functions and multivalue commands to create, evaluate, and analyze multivalue data.
What's included
20 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.
What's included
7 videos2 readings1 assignment
Instructor
Instructor ratings
4.0 (7 ratings)Offered by
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Frequently asked questions
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