Data Models

Splunk Training Provider Authorised Learning Partner Australia

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.

Splunk Credit Value : 50

Duration : 3 hours
Time : 9:00 am - 12:00 pm AEST

Please use the currency convertor above to check for course pricing in your local currency.

Data Models - Splunk Education Single Subject Course Training

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

Data Models - Course Topics

Introducing Data Model Datasets
Designing Data Models
Creating a Pivot
Accelerating Data Models
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:

How Splunk works
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

Understand data models
Add event, search, and transaction datasets to data models
Identify event objects hierarchy and constraints
Add fields based on eval expressions to transaction datasets

Topic 2 – Designing Data Models

Create a data model
Add root and child datasets to a data model
Add fields to data models
Test a data model
Define permissions for a data model
Upload/download a data model for backup and sharing

Topic 3 - Creating a Pivot

Identify benefits of using Pivot
Create and configure a Pivot
Visualize a Pivot
Save a Pivot
Use Instant Pivot
Access underlying search for Pivot

Topic 4 - Accelerating Data Model

Understand the difference between ad-hoc and persistent data model acceleration
Accelerate a data model
Describe the role of tsidx files in data model acceleration
Describe the role of tsidx files in data model acceleration
Review considerations about data model acceleration

Topic 5 - Enriching Data

Understand how fields from lookups, calculated fields, field aliases, and field extractions enrich data

Splunk Course Schedules and Timezones

Splunk Course are delivered live and in English and provide access to customers spanning multiple timezones.

Dates and times displayed for each course are relative to Australian Eastern Time (AET).

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;

UTC+10 including Australia (East Coast)
UCT+11/+12 including New Zealand and the Pacific Islands
UTC-8 including USA (West Coast), Canada (West Coast)
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;

UTC+10 including Australia (East Coast)
UCT+11/+12 including New Zealand and the Pacific Islands
UTC-8 including USA (West Coast), Canada (West Coast)
UTC-7 including USA (Mid West)