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December 16, 2024
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This course is part of Splunk Search Expert Specialization
Instructor: Splunk Instructor
3,863 already enrolled
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(44 reviews)
Recommended experience
Beginner level
(44 reviews)
Recommended experience
Beginner level
Filter data using time modifiers and time commands and use formatting functions to accommodate various time formats.
Calculate statistics using transforming commands and mathematical and statistical eval functions.
Compare, manipulate, and normalize data using several commands including the all-powerful eval command and an array of functions.
Enrich results with lookups and subsearches to correlate and filter data from multiple sources.
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Take the next step in your knowledge of Splunk. In this course, you will learn how to use time differently based on scenarios, learn commands to help process, manipulate and correlate data.
This module is for users who want to become experts at using time in searches. Topics will focus on searching and formatting time in addition to using time commands and working with time zones.
5 videos2 readings1 assignment
This module is for users who want to identify and use transforming commands and eval functions to calculate statistics on their data. Topics will cover data series types, primary transforming commands, mathematical and statistical eval functions, using eval as a function, and the rename and sort commands.
13 videos2 readings1 assignment
This three-hour course is for power users who want to learn how to compare field values using eval functions and eval expressions. Topics will focus on using the comparison and conditional functions of the eval command, and using eval expressions with the fieldformat and where commands.
9 videos2 readings1 assignment
This module is for users who want to use commands to manipulate output and normalize data. Topics will focus on specific commands for manipulating fields and field values, modifying result sets, and managing missing data. Additionally, students will learn how to use specific eval command functions to normalize fields and field values across multiple data sources.
16 videos2 readings1 assignment
This module is designed for users who want to learn how to use lookups and subsearches to enrich their results. Topics will focus on lookup commands and explore how to use subsearches to correlate and filter data from multiple sources.
9 videos2 readings1 assignment
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Reviewed on Aug 21, 2023
Excellent slides and narration. Awesome hands-on walk-throughs. Very thorough.
Reviewed on Feb 16, 2022
Really comprehensive and detailed. Amazing amount of learning. Thank you for providing this opportunity to learn.
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