Splunk Training Provider Authorised Learning Partner Australia

Splunk Education - Single Subject Courses

Ingeniq is the Splunk Training Provider and Authorised Learning Partner for Australia and New Zealand and is certified to deliver the complete range of Splunk courses and modules and offers both Instructor led public and dedicated virtual and face-to-face courses.

Splunk Education single-subject Instructor led courses are smaller portions of Splunk training courses and take 3 hours or less to complete.

Splunk Education single-subject training courses contribute to Splunk certifications.

Have a question? Our Education Consultants can help - call us or email at sales@ingeniq.com.au and we'll be in touch.

Call us on 1300 245 802
Splunk Education Single Subject Course Training
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What is Splunk?

This Splunk training course introduces students to what machine data is and how Splunk can leverage operational intelligence to investigate and respond to incidents in their organizations.

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Intro to Splunk

This Splunk training course teaches students how to use Splunk to create reports and dashboards and explore events using Splunk's Search Processing Language. Students will learn the basics of Splunk's architecture, user roles, and how to navigate the Splunk Web interface to create robust searches, reports, visualizations, and dashboards

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This Splunk training course is for power users who want to learn about fields and how to use fields in searches. Topics will focus on explaining the role of fields in searches, field discovery, using fields in searches, and the difference between persistent and temporary fields. The last topic will introduce how fields from other data sources can be used to enrich search results.

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Intro to Knowledge Objects

This Splunk training course teaches students about how different types of knowledge objects to extract additional insights from their data. Students will learn the basics of how to create knowledge objects, define their settings, edit, and manage existing knowledge objects.

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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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This Splunk training course 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 lookup best practices. 

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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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This Splunk training course is designed for power users who want to learn best practices for building dashboards in the Dashboard Studio. It focuses on dashboard creation, including prototyping, the dashboard definition, layout types, adding visualizations, and dynamic coloring.

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This Splunk training course module is designed for power users who want to learn best practices for building dashboards in the Dashboard Studio. It focuses on creating inputs, chain searches, event annotations, and improving dashboard performance.

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This Splunk training Course helps you understand more about Choropleth maps. These maps have specific data and component requirements. A search uses the data and components to generate a choropleth map.

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Scheduling Reports and Alerts

This Splunk training course teaches students how to use scheduled reports and alerts to automate processes in their organization. Students will create, manage, and schedule reports and alerts, and use alert actions to further respond to incidents as they occur.

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Visualisations

This Splunk training course teaches students how to use scheduled reports and alerts to automate processes in their organization. Students will create, manage, and schedule reports and alerts, and use alert actions to further respond to incidents as they occur.

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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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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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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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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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This Splunk training course is designed for power users who want to learn how to use lookups and sub searches to enrich their results. Topics will focus on lookup commands and explore how to use sub searches to correlate and filter data from multiple sources.

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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.