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.
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About this Course
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessWhat you will 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 will gain
- Data Science
- Business Analytics
- Data Analysis
- Big Data
- Business Intelligence
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessOffered by
Syllabus - What you will learn from this course
Creating Field Extractions
Enriching Data with Lookups
Data Models
Search Optimization
About the Splunk Knowledge Manager Specialization

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