Data Models
The Splunk Education single-subject course module, Data Models 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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Splunk Credit Value : 50
Duration : 3 hours
Time : 9:00 am - 12:00 pm AEST
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Please use the currency convertor above to check for course pricing in your local currency.
Data Models - Course Topics
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Introducing Data Model Datasets
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Designing Data Models
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Creating a Pivot
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Accelerating Data Models
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Enriching Data
Class Format
Instructor-led lecture with labs. Delivered via virtual classroom or at your site
Course Prerequisites
To be successful, students should have a solid understanding of the following:
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How Splunk works
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Knowledge Objects (Introduction to Knowledge Objects module)
Course Module Mapping
Data Models - Audience
Knowledge Manager learning path.
Data Models- Course Objectives
Topic 1 – Introducing Data Model Datasets
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Understand data models
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Add event, search, and transaction datasets to data models
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Identify event objects hierarchy and constraints
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Add fields based on eval expressions to transaction datasets
Topic 2 – Designing Data Models
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Create a data model
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Add root and child datasets to a data model
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Add fields to data models
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Test a data model
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Define permissions for a data model
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Upload/download a data model for backup and sharing
Topic 3 - Creating a Pivot
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Identify benefits of using Pivot
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Create and configure a Pivot
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Visualize a Pivot
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Save a Pivot
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Use Instant Pivot
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Access underlying search for Pivot
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Topic 4 - Accelerating Data Model
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Understand the difference between ad-hoc and persistent data model acceleration
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Accelerate a data model
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Describe the role of tsidx files in data model acceleration
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Describe the role of tsidx files in data model acceleration
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Review considerations about data model acceleration
Topic 5 - Enriching Data
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Understand how fields from lookups, calculated fields, field aliases, and field extractions enrich data
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Splunk Course Schedules and Timezones
Splunk Course are delivered live and in English and provide access to customers spanning multiple timezones.
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Dates and times displayed for each course are relative to Australian Eastern Time (AET).
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AM Marked Splunk Courses
AM marked courses start at AET 9:00am and finish at AET 1:30pm and are optimal for customers in the following countries and areas;
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UTC+10 including Australia (East Coast)
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UCT+11/+12 including New Zealand and the Pacific Islands
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UTC-8 including USA (West Coast), Canada (West Coast)
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UTC-7 including USA (Mid West)
PM Marked Splunk Courses
PM marked courses usually starts at AEDT 12:00pm or AEST 11:00 am and are optimal for customers in the following countries and areas;
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UTC+10 including Australia (East Coast)
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UCT+11/+12 including New Zealand and the Pacific Islands
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UTC-8 including USA (West Coast), Canada (West Coast)
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UTC-7 including USA (Mid West)