Splunk Enterprise Data Administration Course Overview

Target Audience for Splunk Enterprise Data Administration

The Splunk Enterprise Data Administration course equips IT professionals with the skills to manage data in Splunk effectively.

• Splunk Administrators
• Data Architects
• Systems Administrators
• IT Operations Managers
• Security Analysts
• DevOps Engineers
• Network Engineers
• Database Administrators
• Software Developers involved in data logging and analysis
• Compliance Officers who oversee data management and integrity
• Technical Support Staff responsible for maintaining Splunk environments
• Data Analysts seeking to leverage Splunk for insights
• Infrastructure Architects designing data collection and indexing strategies

Learning Objectives - What you will Learn in this Splunk Enterprise Data Administration?

Introduction to the Course Learning Outcomes and Concepts Covered:

The Splunk Enterprise Data Administration course equips learners with key skills for managing and fine-tuning data ingestion, parsing, and indexing in Splunk. It covers forwarder management, input types, and data transformation techniques.

Learning Objectives and Outcomes:

• Gain an overview of Splunk and understand the responsibilities of a Splunk Data Administrator.
• Learn the four stages of Splunk Index and various data input options, including setting up and configuring forwarders.
• Master the use of Splunk Deployment Server for efficient forwarder management and deployment apps configuration.
• Develop skills to create and deploy monitor inputs for directories and files, and configure network and scripted inputs.
• Understand Splunk's input data processing, including sourcetype fine-tuning and character set encoding adjustments.
• Optimize the parsing phase, configure event line breaking, and manage timestamps and time zones for events.
• Implement data transformations using props.conf and transforms.conf for masking, overriding, routing, or preventing indexing of data.
• Create field extractions, configure KV Store collections, manage Knowledge Object permissions, and control automatic field extraction.
• Use SEDCMD for raw data modification and understand the purpose and usage of Splunk diag for system troubleshooting.
• Enhance skills in managing data through Splunk’s HTTP Event Collector and the Splunk App for Stream.