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Splunk Training Provider Authorised Learning Partner Australia

Splunk Power User Fast Start

Strengthen your searching and reporting capabilities. Create workflow actions, event types, knowledge objects and data models. Know how to use field aliases, calculator fields and macros. Plus, learn to normalize data for Splunk.  

The Power User Fast start consists of the following 8 classes:
 

  • Working with Time 

  • Statistical Processing

  • Comparing Values

  • Result Modification

  • Correlation Analysis

  • Creating Knowledge Objects

  • Creating Field Extractions

  • Data Models

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Splunk Credit Value : 400 or USD 4000
Duration : 24 hours (6 hours per day over 4 days)
Time : 2 sessions per day 9:00 am - 12:00 pm and 1pm to 4pm


Course Prerequisites

  • Intro to Splunk  
     

Power User Fast Start Audience
Analysts, IT operations, and security team members who need to level up their ability to manipulate and analyse data more effectively. These classes deepen practical searching, filtering, transforming, and reporting skills beyond the basics. Build more complex searches

Related Certifications
Splunk Certified Power User
 

Dynamic Dashboards - Splunk Education Single Subject Course Training
Working with time.png

Working with Time

This Splunk training course is for power 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.

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Statistical Processing.png

This Splunk training course is for power 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.

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Comparing Values.png

This Splunk training 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 field format and where commands.

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Result Modification.png

This Splunk training course is for power 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. 

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Corelation Analysis.png

This Splunk training course is for power 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.

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This Splunk training course is for knowledge managers who want to learn how to create knowledge objects for their search environment using the Splunk web interface. Topics will cover types of knowledge objects, the search-time operation sequence, and the processes for creating event types, workflow actions, tags, aliases, search macros,
and calculated fields.

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This Splunk training course 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.

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Data Models.png

This Splunk training course 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.

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The instructor was very responsive to questions and queries both private and Communal.. Final module collaborative lab walkthrough on screen was particularly helpful.

Participant, Splunk Fundamentals 2

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