SPLK-DATADMIN | Splunk Data Administration
 
Splunk Data Administrators Course are designed for onboarding, organizing, and optimizing data within Splunk to ensure accurate, fast, and reliable search results.
 
Objectives
Understand sourcetypes
Manage and deploy forwarders with Forwarder Management
Configure data inputs
File monitors
Network inputs (TCP/UDP)
Scripted inputs
HTTP inputs (via the HTTP Event Collector)
Customize the input phase parsing process
Define transformations to modify raw data before it is indexed
Define search time field extractions
 
Audience
Data analysts, data engineers, and Splunk administrators who need to manage data sources, optimize searches, and structure the efficient storage of information within Splunk.
 
Prerequisites
Splunk Fundamentals 2
Strongly Recommended: Splunk Enterprise System Administration
 
Course Outline
Chapter 1: Fundamentals of Data Administration in Splunk
Objectives
1.1.  Splunk architecture and data flow
1.2. Concepts of data indexing and storage
1.3. Differences between Forwarders, Indexers, and Search Heads
1.4. Best practices for data administration in Splunk
Summary
Lab 1. Discover Lab Environment
References
Chapter 2: Data Collection and Ingestion
Objectives
2.1. Types of data sources supported by Splunk
2.2. Configuring inputs: file monitoring
Summary
Lab 2. Add Local Data Input
References
Chapter 3: Forwarder Configuration
Objectives
3.1.  Use of Universal Forwarders
Summary
Lab 3. Setting Up Forwarders
References
Chapter 4: Heavy Forwarders & Forwarder Management
Objectives
4.1. Heavy Forwarders
4.2. Forwarder Management
Summary
Lab 4. Forwarder Management
References
Chapter 5: Monitor Inputs
Objectives
5.1. Monitoring Input
Summary
Lab 5. File Monitors
References
Chapter 6: Network and Scripted Inputs
Objectives
6.1. Network and Scripted Inputs
Summary
Lab 6. Network Input
References
Chapter 7: Windows and Agentless Inputs
Objectives
7.1. Windows and Agentless Inputs
Summary
Lab 7. HTTP Event Collector
References
Chapter 8: Fine-tuning Inputs
Objectives
8.1. Windows and Agentless Inputs
Summary
Lab 8. Fine-Tuning Inputs
References
Chapter 9: Parsing Phase and Data Preview
Objectives
9.1. Parsing Phase and Data Preview
Summary
Lab 9. Create a New Source Type
References
Chapter 10: Manipulating Raw Data
Objectives
10.1. Manipulating Raw Data
Summary
Lab 10. Manipulating Data
References
 
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Debido a las constantes actualizaciones de los contenidos de los cursos por parte del fabricante, el contenido de este temario puede variar con respecto al publicado en el sitio oficial, sin embargo, Netec siempre entregará la versión actualizada de éste.