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Data Models (SDM)

 

Course Content

This three-hour 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.

Prerequisites

To be successful, students should have a solid understanding of the following:

  • How Splunk works
  • Creating search queries
  • Knowledge objects

Course Objectives

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

Outline: Data Models (SDM)

Module 1 - Introducing Data Model Datasets

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

Module 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

Module 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

Module 4 - Accelerating Data Models

  • 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
  • Review considerations about data model acceleration
Online Training

Duration 3 hours

Price
  • CAD 635
Classroom Training

Duration 3 hours

Price
  • Canada: CAD 635
 
Schedule

Currently there are no training dates scheduled for this course.