Moyens d'évaluation :
- Quiz pré-formation de vérification des connaissances (si applicable)
- Évaluations formatives pendant la formation, à travers les travaux pratiques réalisés sur les labs à l’issue de chaque module, QCM, mises en situation…
- Complétion par chaque participant d’un questionnaire et/ou questionnaire de positionnement en amont et à l’issue de la formation pour validation de l’acquisition des compétences
Who should attend
Search Experts and Knowledge Managers
Certifications
This course is part of the following Certifications:
Prerequisites
To be successful, students should have a solid understanding of the following:
- How Splunk works
- Creating search queries
- Knowledge objects
Course Objectives
- Manipulating Output
- Modifying Result Sets
- Managing Missing Data
- Modifying Field Values
- Normalizing with eval
Course Content
This three-hour module 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.
Moyens Pédagogiques :