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.
ofrecido por
Acerca de este Curso
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Curso 2 de 3 en
Nivel principiante
Aprox. 4 horas para completar
Inglés (English)
Subtítulos: Inglés (English)
Qué aprenderás
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.
Habilidades que obtendrás
- Data Science
- Business Analytics
- Data Analysis
- Big Data
- Business Intelligence
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Curso 2 de 3 en
Nivel principiante
Aprox. 4 horas para completar
Inglés (English)
Subtítulos: Inglés (English)
ofrecido por
Splunk Inc.
The Splunk platform is designed to remove the barriers between data and action, so that everyone thrives in the Data Age. We’re empowering IT, DevOps and security teams to transform their organizations with data from any source and on any timescale.
Programa - Qué aprenderás en este curso
1 hora para completar
Creating Field Extractions
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.
1 hora para completar
5 videos (Total 12 minutos), 2 lecturas, 1 cuestionario
1 hora para completar
Enriching Data with Lookups
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.
1 hora para completar
10 videos (Total 25 minutos), 2 lecturas, 1 cuestionario
1 hora para completar
Data Models
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.
1 hora para completar
5 videos (Total 32 minutos), 2 lecturas, 1 cuestionario
1 hora para completar
Search Optimization
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.
1 hora para completar
7 videos (Total 52 minutos), 2 lecturas, 1 cuestionario
Acerca de Programa especializado: Splunk Knowledge Manager
By completing the Splunk Knowledge Manager 101, 102 & 103, you will be able to create knowledge objects including lookups, data models, and different types of fields. In addition to this, you will learn to build dashboards and add inputs for filtering.
Preguntas Frecuentes
¿Cuándo podré acceder a las lecciones y tareas?
¿Qué recibiré si me suscribo a este Programa especializado?
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