Splunk Knowledge Manager

via Coursera Specialization

Overview

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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.

Syllabus

Course 1: Splunk Knowledge Manager 101
Course 2: Splunk Knowledge Manager 102
Course 3: Splunk Knowledge Manager 103

Courses

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This course will introduce you to the basics of machine data, Splunk’s architecture, and how to navigate the Splunk Web interface. You will gain fundamental knowledge for defining, creating, and using fields in searches. You will learn about the different types of knowledge objects and how to create knowledge objects including event types, workflow actions, tags, aliases, search macros, and calculated fields.
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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.
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In this course, you will go beyond dashboard basics and learn about Dashboard Studio's underlying framework, the dashboard development process from prototyping and wireframing to troubleshooting as well as adding visualizations, dynamic coloring and drilldowns. Then you will go further by making your dashboards interactive with user inputs. You will learn how to use mock data, add annotation searches to a visualization, and improve dashboard performance. Finally, you will take a deep dive into maps using the classic simple XML framework where you will learn how to create cluster and choropleth maps, customize their color, and make them interactive.