Splunk Knowledge Manager 101 from Coursera

What's inside

Syllabus

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.

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..

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.

Intro to Knowledge Objects

This eLearning module teaches students about how different types of knowledge objects to extract additional insights from your data. Students will learn the basics of how to create knowledge objects, define their settings, edit, and manage existing knowledge objects.

Creating Knowledge Objects

This module is for knowledge managers who want to learn how to create knowledge objects for their search environment using the Splunk web interface. Topics will cover types of knowledge objects, the search-time operation sequence, and the processes for creating event types, workflow actions, tags, aliases, search macros, and calculated fields.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Teaches knowledge management, including event types, workflow actions, search macros, calculated fields

Introduces using Splunk's architecture, machine data, and navigating the Splunk web interface

Develops field management including field discovery, field usage in searches, and persistent fields

Taught by Splunk Instructor, an industry leader with experience in Splunk

Introduces operational intelligence to investigate incidents

Covers knowledge objects including tags, aliases, and calculated fields

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Splunk Knowledge Manager 101 with these activities:

Review Introduction to Splunk Architecture

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Freshen up your understanding of the fundamentals of Splunk's architecture to set yourself up for success in this course.

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Review the module content on Splunk's architecture.
Take notes on key concepts, such as indexers, search heads, and forwarders.
Complete any practice exercises or quizzes associated with the module.

Complete Splunk Fundamentals Tutorial

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Supplement your learning by following a comprehensive tutorial that covers the basics of using Splunk.

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Search for a reputable Splunk fundamentals tutorial.
Follow the tutorial step-by-step, taking notes as needed.
Complete any exercises or assignments included in the tutorial.

Organize Course Notes and Resources

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Stay organized and enhance your learning by compiling all relevant course materials in one place.

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Create a dedicated folder or notebook for the course.
Download and save all lecture slides, handouts, and assignments.
Organize the materials chronologically or by topic.

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Create Sample Searches in Splunk Web Interface

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Reinforce your understanding of Splunk's Search Processing Language by creating your own searches.

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Identify a use case or scenario that you want to explore.
Open the Splunk Web interface and navigate to the Search page.
Construct a search query using the appropriate syntax.
Run the search and analyze the results.
Refine your search query as needed to optimize the results.

Build a Splunk Dashboard for a Specific Use Case

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Deepen your knowledge of Splunk's visualization capabilities by creating a dashboard that addresses a real-world use case.

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Identify a specific business problem or question that you want to address.
Gather the necessary data and create visualizations that effectively communicate the insights.
Organize the visualizations into a cohesive dashboard layout.
Refine the dashboard based on feedback or additional analysis.

Develop a Splunk App for a Specific Task

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Apply your Splunk skills to a real-world project by creating an app that automates a specific task or addresses a business need.

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Identify a specific problem or opportunity that can be addressed with a Splunk app.
Design the app's functionality, including data sources, visualizations, and dashboards.
Develop and test the app using the Splunk SDK.
Deploy the app to a Splunk instance.
Monitor and maintain the app over time.

Career center

Learners who complete Splunk Knowledge Manager 101 will develop knowledge and skills that may be useful to these careers:

Data Analyst

A Data Analyst identifies, collects, analyzes, and interprets data, and then presents the results of the analysis to a wide range of audiences. They design statistical models and perform data mining to analyze data and help their organizations understand their customers, improve their products and services, prevent problems, and more. Splunk Knowledge Manager 101 may be useful for this career path, as it provides a solid foundation for understanding the principles of data analysis and provides hands-on experience in working with data.

See salaries and explore the career path for Data Analyst

Business Analyst

A Business Analyst works with stakeholders to understand their business needs and then helps them translate those needs into technical requirements. They may also be responsible for writing user stories, creating mockups, and developing test cases. Splunk Knowledge Manager 101 can be a valuable asset for Business Analysts, as it provides them with the skills they need to understand the technical side of data management and analysis.

See salaries and explore the career path for Business Analyst

Data Scientist

A Data Scientist uses their knowledge of mathematics, statistics, and computer science to extract meaningful insights from data. They develop and implement data mining algorithms, build predictive models, and design data visualization dashboards. Splunk Knowledge Manager 101 can be a helpful resource for Data Scientists, as it provides a solid foundation in the fundamentals of data analysis and machine learning.

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Database Administrator

A Database Administrator is responsible for the maintenance and performance of an organization's databases. They install, configure, and maintain database software, as well as monitor and troubleshoot database performance. Splunk Knowledge Manager 101 can be a valuable asset for Database Administrators, as it provides them with the skills they need to understand the technical side of data management and analysis.

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Information Security Analyst

An Information Security Analyst is responsible for protecting an organization's information systems from unauthorized access, use, disclosure, disruption, modification, or destruction. They develop and implement security policies and procedures, as well as monitor and respond to security incidents. Splunk Knowledge Manager 101 can be a valuable asset for Information Security Analysts, as it provides them with the skills they need to understand the technical side of data security and analysis.

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IT Auditor

An IT Auditor is responsible for evaluating an organization's IT systems and processes to ensure that they are in compliance with applicable laws and regulations. They also provide guidance to management on how to improve the security and efficiency of their IT systems. Splunk Knowledge Manager 101 can be a valuable asset for IT Auditors, as it provides them with the skills they need to understand the technical side of data management and analysis.

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Software Engineer

A Software Engineer designs, develops, and maintains software applications. They work with stakeholders to understand their needs, and then translate those needs into technical requirements. They also write code, test it, and debug it. Splunk Knowledge Manager 101 can be a valuable asset for Software Engineers, as it provides them with the skills they need to understand the technical side of data management and analysis.

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Systems Engineer

A Systems Engineer is responsible for the design, implementation, and maintenance of an organization's computer systems. They work with stakeholders to understand their needs, and then translate those needs into technical requirements. They also design and implement system solutions, and monitor and troubleshoot system performance. Splunk Knowledge Manager 101 can be a valuable asset for Systems Engineers, as it provides them with the skills they need to understand the technical side of data management and analysis.

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Network Engineer

A Network Engineer is responsible for the design, implementation, and maintenance of an organization's computer networks. They work with stakeholders to understand their needs, and then translate those needs into technical requirements. They also design and implement network solutions, and monitor and troubleshoot network performance. Splunk Knowledge Manager 101 can be a valuable asset for Network Engineers, as it provides them with the skills they need to understand the technical side of data management and analysis.

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Security Engineer

A Security Engineer is responsible for the design, implementation, and maintenance of an organization's security systems. They work with stakeholders to understand their needs, and then translate those needs into technical requirements. They also design and implement security solutions, and monitor and troubleshoot security performance. Splunk Knowledge Manager 101 can be a valuable asset for Security Engineers, as it provides them with the skills they need to understand the technical side of data management and analysis.

See salaries and explore the career path for Security Engineer

Splunk Knowledge Manager 101

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