This course helps you understand the basics of machine data. You will learn about Splunk components, its basic functions, and be introduced to apps, which becomes your workspace. It teaches you how to navigate Splunk, get you familiar with search anatomy to run searches using fields and basic commands.
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Course 1 of 3 in the Splunk Search Expert Specialization.
Syllabus
WEEK 1
What is Splunk?
This eLearning module introduces students to what machine data is, and how Splunk can leverage operational intelligence to investigate and respond to incidents in their organizations.
WEEK 2
Introduction to Splunk
This eLearning module teaches students how to use Splunk to create reports and dashboards and explore events using Splunk's Search Processing Language. Students will learn the basics of Splunk's architecture, user roles, and how to navigate the Splunk Web interface to create robust searches, reports, visualizations, and dashboards..
WEEK 3
Using Fields
This module is for users who want to learn about fields and how to use fields in searches. Topics will focus on explaining the role of fields in searches, field discovery, using fields in searches, and the difference between persistent and temporary fields. The last topic will introduce how fields from other data sources can be used to enrich search results.
WEEK 4
Scheduling Reports and Alerts
This eLearning module teaches students how to use scheduled reports and alerts to automate processes in their organization. Students will create, manage, and schedule reports and alerts, and use alert actions to further respond to incidents as they occur.
WEEK 5
Visualizations
This eLearning module teaches students how to create visualizations in Splunk, using Splunk's Search Processing Language as well as the Splunk Web interface. Students will learn commands that allow data to be displayed on charts and graphs, transform geographic data into maps, create single value visualizations, and use Splunk's visual formatting options to change the look of statistical tables.
