In this course, you will learn how fields are extracted and how to create regex and delimited field extractions. You will upload and define lookups, create automatic lookups, and use advanced lookup options. You will learn about datasets, designing data models, and using the Pivot editor. You’ll improve search performance by creating efficient base searches, accelerating reports and data models, and how to use the tstats command.
Splunk Knowledge Manager 102
Ce cours fait partie de Spécialisation Splunk Knowledge Manager
Instructeur : Splunk Instructor
Inclus avec
(12 avis)
Ce que vous apprendrez
Learn how to perform different types of regex and delimited field extractions and when the field extraction process occurs.
Define, create, and use file-based lookups and identify where lookups fall in the search-time operation sequence.
Add event, search, and transaction datasets to data models and learn how to work with Pivots by creating, configuring, and visualizing a Pivot.
Understand how search modes affect performance by defining and using acceleration and acceleration types.
Compétences que vous acquerrez
- Catégorie : Business Intelligence
- Catégorie : Data Science
- Catégorie : Big Data
- Catégorie : Data Analysis
- Catégorie : Business Analytics
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Il y a 4 modules dans ce cours
This module is for knowledge managers who want to learn about field extraction and the Field Extractor (FX) utility. Topics will cover when certain fields are extracted and how to use the FX to create regex and delimited field extractions.
Inclus
5 vidéos2 lectures1 devoir
This module 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.
Inclus
10 vidéos2 lectures1 devoir
This module 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.
Inclus
5 vidéos2 lectures1 devoir
This module is for users who want to improve search performance. Topics will cover how search modes affect performance, how to create an efficient basic search, how to accelerate reports and data models, and how to use the tstats command to quickly query data.
Inclus
7 vidéos2 lectures1 devoir
Instructeur
Offert par
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Splunk Inc.
Splunk Inc.
Splunk Inc.
Splunk Inc.
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