Splunk Training Provider Authorised Learning Partner Australia

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.

Units : 1
Duration : 3 hours
Time : 12:00 pm - 4:30pm AEDT​

 

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 - Splunk Education Single Subject Course Training
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 (4.5 hour sessions over 1 or more days) 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 start at AEDT 12:00pm 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)

Data Models - Upcoming Schedule