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Adam Frisbee
Splunk is the most popular data analytics platform for security and observability. This course will teach you how to use Splunk’s powerful Common Information Model to normalize data and to build and optimize reports and dashboards.
Read more
Splunk is the most popular data analytics platform for security and observability. This course will teach you how to use Splunk’s powerful Common Information Model to normalize data and to build and optimize reports and dashboards.
Read more
Splunk is the most popular data analytics platform for security and observability. This course will teach you how to use Splunk’s powerful Common Information Model to normalize data and to build and optimize reports and dashboards.
Data is an organization’s most valuable technology asset. An organization’s approach to data can often make or break its success. Splunk helps businesses turn raw data into valuable insights using it’s powerful, extensible platform. In this course, Splunk 9: Employing the Splunk Common Information Model (CIM), you’ll learn to identify data that needs to be normalized, use Splunk’s Common Information Model for that normalization, and then use that normalized data to build powerful reports and dashboards. First, you’ll explore normalizing data at search time. Next, you’ll understand data validation. Finally, you’ll learn how to use the CIM to create optimized reports and dashboards. When you’re finished with this course, you’ll have the skills and knowledge of the Splunk Common Information Model needed to normalize and optimize data in Splunk.
Register for this course and see more details by visiting:
OpenCourser.com/course/bcfqvx/splunk
What's inside
Syllabus
Course Overview
Getting Familiar with the Splunk Common Information Model
Configuring the Common Information Model Add-on
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops professional skills in data normalization and dashboard optimization using Splunk
Taught by Adam Frisbee, a recognized expert in Splunk
Explores Splunk's Common Information Model (CIM), a standard in the security and observability industry
Emphasizes data normalization, a core skill for data analytics
Strong focus on Splunk's powerful platform for data analytics
Builds a foundation in data validation and dashboard optimization
Save this course
Save Splunk 9: Employing the Splunk Common Information Model (CIM) to your list so you can find it easily later:
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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 9: Employing the Splunk Common Information Model (CIM) with these
activities:
Review course materials before starting
Show steps
Prepare for the course by reviewing key concepts and materials to strengthen your foundation.
Browse courses on
Splunk
Show steps
-
Read the course syllabus and overview.
-
Skim through the first few lessons of the course.
Organize your notes and resources
Show steps
Stay organized by compiling your notes, assignments, and other materials in a central location.
Show steps
-
Create a dedicated folder or notebook for the course.
-
File and label your notes, assignments, and other resources.
Review data analytics fundamentals
Show steps
Review foundational concepts of data analytics to strengthen your understanding of the course material.
Browse courses on
Data Analytics
Show steps
-
Review basic concepts of data types, data structures, and data processing.
-
Practice data transformation and data cleaning techniques.
Eight other activities
Expand to see all activities and additional details
Show all 11 activities
Review Splunk fundamentals
Show steps
Review the basics of Splunk, including its key concepts, terminologies, and features, to ensure a strong knowledge foundation before diving into the course.
Show steps
-
Revisit official Splunk documentation and tutorials
-
Complete online courses or watch video tutorials on Splunk basics
-
Practice using the Splunk Web interface and command line
Attend online or in-person Splunk user groups
Show steps
Connect with other Splunk users and experts to share knowledge, learn about best practices, and expand your network.
Browse courses on
Splunk
Show steps
-
Search for Splunk user groups in your area.
-
Attend meetings or webinars hosted by the groups.
-
Participate in discussions and ask questions.
Identify potential mentors for guidance and support
Show steps
Seek out experienced individuals in the field who can provide guidance, support, and insights to enhance your learning.
Browse courses on
Mentorship
Show steps
-
Attend industry events and meetups to connect with potential mentors.
-
Reach out to professionals in your network or through online platforms like LinkedIn.
-
Describe your goals and interests, and request their mentorship.
Explore Splunk documentation and resources
Show steps
Supplement your learning by exploring official Splunk documentation and online resources for additional insights.
Show steps
-
Review Splunk documentation on the Common Information Model
-
Utilize Splunk tutorials and blogs for practical examples
Follow online tutorials on Splunk
Show steps
Explore interactive tutorials to reinforce your understanding of Splunk's functionalities and capabilities.
Browse courses on
Splunk
Show steps
-
Search for and enroll in online tutorials on Splunk.
-
Follow the tutorials step-by-step to learn key concepts and practices.
-
Complete exercises and quizzes to test your understanding.
Practice using the Splunk Common Information Model (CIM)
Show steps
Engage in hands-on exercises to familiarize yourself with the structure and usage of the Splunk CIM.
Browse courses on
Data Normalization
Show steps
-
Set up a Splunk environment for practice.
-
Load sample data and apply the Splunk CIM.
-
Create searches and reports using the normalized data.
Attend a Splunk workshop or conference
Show steps
Deepen your knowledge and network with industry experts by attending a Splunk workshop or conference.
Show steps
-
Research and identify relevant Splunk events
-
Register and attend the workshop or conference
-
Engage with speakers, ask questions, and participate in discussions
Build a dashboard to visualize data using Splunk
Show steps
Practice creating a dashboard to present data and insights effectively, enhancing your data analysis skills.
Browse courses on
Data Visualization
Show steps
-
Identify a specific data set and objective for the dashboard.
-
Use Splunk to retrieve and prepare the data.
-
Create visualizations and widgets to represent the data.
-
Organize and arrange the dashboard for clear presentation.
Review course materials before starting
Show steps
Prepare for the course by reviewing key concepts and materials to strengthen your foundation.
Browse courses on
Splunk
Show steps
Show steps
Show steps
- Read the course syllabus and overview.
- Skim through the first few lessons of the course.
Organize your notes and resources
Show steps
Stay organized by compiling your notes, assignments, and other materials in a central location.
Show steps
Show steps
Show steps
- Create a dedicated folder or notebook for the course.
- File and label your notes, assignments, and other resources.
Review data analytics fundamentals
Show steps
Review foundational concepts of data analytics to strengthen your understanding of the course material.
Browse courses on
Data Analytics
Show steps
Show steps
Show steps
- Review basic concepts of data types, data structures, and data processing.
- Practice data transformation and data cleaning techniques.
Eight other activities
Expand to see all activities and additional details
Show all 11 activities
Review Splunk fundamentals
Show steps
Review the basics of Splunk, including its key concepts, terminologies, and features, to ensure a strong knowledge foundation before diving into the course.
Show steps
Show steps
Show steps
- Revisit official Splunk documentation and tutorials
- Complete online courses or watch video tutorials on Splunk basics
- Practice using the Splunk Web interface and command line
Attend online or in-person Splunk user groups
Show steps
Connect with other Splunk users and experts to share knowledge, learn about best practices, and expand your network.
Browse courses on
Splunk
Show steps
Show steps
Show steps
- Search for Splunk user groups in your area.
- Attend meetings or webinars hosted by the groups.
- Participate in discussions and ask questions.
Identify potential mentors for guidance and support
Show steps
Seek out experienced individuals in the field who can provide guidance, support, and insights to enhance your learning.
Browse courses on
Mentorship
Show steps
Show steps
Show steps
- Attend industry events and meetups to connect with potential mentors.
- Reach out to professionals in your network or through online platforms like LinkedIn.
- Describe your goals and interests, and request their mentorship.
Explore Splunk documentation and resources
Show steps
Supplement your learning by exploring official Splunk documentation and online resources for additional insights.
Show steps
Show steps
Show steps
- Review Splunk documentation on the Common Information Model
- Utilize Splunk tutorials and blogs for practical examples
Follow online tutorials on Splunk
Show steps
Explore interactive tutorials to reinforce your understanding of Splunk's functionalities and capabilities.
Browse courses on
Splunk
Show steps
Show steps
Show steps
- Search for and enroll in online tutorials on Splunk.
- Follow the tutorials step-by-step to learn key concepts and practices.
- Complete exercises and quizzes to test your understanding.
Practice using the Splunk Common Information Model (CIM)
Show steps
Engage in hands-on exercises to familiarize yourself with the structure and usage of the Splunk CIM.
Browse courses on
Data Normalization
Show steps
Show steps
Show steps
- Set up a Splunk environment for practice.
- Load sample data and apply the Splunk CIM.
- Create searches and reports using the normalized data.
Attend a Splunk workshop or conference
Show steps
Deepen your knowledge and network with industry experts by attending a Splunk workshop or conference.
Show steps
Show steps
Show steps
- Research and identify relevant Splunk events
- Register and attend the workshop or conference
- Engage with speakers, ask questions, and participate in discussions
Build a dashboard to visualize data using Splunk
Show steps
Practice creating a dashboard to present data and insights effectively, enhancing your data analysis skills.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Identify a specific data set and objective for the dashboard.
- Use Splunk to retrieve and prepare the data.
- Create visualizations and widgets to represent the data.
- Organize and arrange the dashboard for clear presentation.
Career center
Learners who complete Splunk 9: Employing the Splunk Common Information Model (CIM) will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data Analysts take raw data, process it, and turn it into actionable information. A background in Computer Science or Statistics is highly recommended to succeed in this role. Splunk’s Common Information Model (CIM) is a powerful tool that helps to normalize data, making it easier to analyze and use. This course will help you to build a solid foundation in the CIM, which will be essential for a successful career as a Data Analyst.
Data Scientist
Data Scientist
Data Scientists use data to build machine learning models and other predictive analytics tools. They typically have a background in Computer Science, Statistics, or a related field. Knowledge of the CIM is also essential for Data Scientists, as it helps them to clean and normalize data before building models. This course will help you to develop the skills you need to be a successful Data Scientist.
Security Analyst
Security Analyst
Security Analysts use data to detect and prevent security breaches. They typically have a background in Computer Science, Information Security, or a related field. The CIM is an essential tool for Security Analysts, as it helps them to normalize data from different sources and identify security threats. This course will help you to develop the skills you need to be a successful Security Analyst.
IT Auditor
IT Auditor
IT Auditors evaluate the security and compliance of IT systems. They typically have a background in Computer Science, Accounting, or a related field. Knowledge of the CIM is also essential for IT Auditors, as it helps them to normalize data from different sources and identify security risks. This course will help you to develop the skills you need to be a successful IT Auditor.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts use data to make informed business decisions. They typically have a background in Business, Economics, or a related field. The CIM is a valuable tool for Business Intelligence Analysts, as it helps them to normalize data from different sources and identify business trends. This course will help you to develop the skills you need to be a successful Business Intelligence Analyst.
Data Engineer
Data Engineer
Data Engineers design and build the infrastructure that stores and processes data. They typically have a background in Computer Science or a related field. Knowledge of the CIM is also essential for Data Engineers, as it helps them to normalize data from different sources and design data pipelines. This course will help you to develop the skills you need to be a successful Data Engineer.
DevOps Engineer
DevOps Engineer
DevOps Engineers work with developers and operations teams to build and deploy software. They typically have a background in Computer Science or a related field. Knowledge of the CIM is also beneficial for DevOps Engineers, as it helps them to normalize data from different sources and identify performance issues. This course may be useful for those who wish to learn more about the CIM and how it can be used in a DevOps environment.
IT Manager
IT Manager
IT Managers oversee the IT infrastructure of an organization. They typically have a background in Computer Science or a related field. Knowledge of the CIM is also beneficial for IT Managers, as it helps them to normalize data from different sources and identify IT risks. This course may be useful for those who wish to learn more about the CIM and how it can be used to manage an IT infrastructure.
Information Security Manager
Information Security Manager
Information Security Managers oversee the security of an organization's IT systems. They typically have a background in Computer Science or a related field. Knowledge of the CIM is also beneficial for Information Security Managers, as it helps them to normalize data from different sources and identify security threats. This course may be useful for those who wish to learn more about the CIM and how it can be used to manage information security.
Data Architect
Data Architect
Data Architects design and build the data architecture for an organization. They typically have a background in Computer Science or a related field. Knowledge of the CIM is also beneficial for Data Architects, as it helps them to normalize data from different sources and design data models. This course may be useful for those who wish to learn more about the CIM and how it can be used to design a data architecture.
Data Governance Specialist
Data Governance Specialist
Data Governance Specialists develop and implement policies and procedures for managing data. They typically have a background in Computer Science or a related field. Knowledge of the CIM is also beneficial for Data Governance Specialists, as it helps them to normalize data from different sources and ensure data quality. This course may be useful for those who wish to learn more about the CIM and how it can be used to implement data governance.
Database Administrator
Database Administrator
Database Administrators manage the databases of an organization. They typically have a background in Computer Science or a related field. Knowledge of the CIM is also beneficial for Database Administrators, as it helps them to normalize data from different sources and design database schemas. This course may be useful for those who wish to learn more about the CIM and how it can be used to manage databases.
Systems Analyst
Systems Analyst
Systems Analysts design and implement IT systems. They typically have a background in Computer Science or a related field. Knowledge of the CIM is also beneficial for Systems Analysts, as it helps them to normalize data from different sources and design system architectures. This course may be useful for those who wish to learn more about the CIM and how it can be used to design IT systems.
Software Engineer
Software Engineer
Software Engineers design and develop software applications. They typically have a background in Computer Science or a related field. Knowledge of the CIM is also beneficial for Software Engineers, as it helps them to normalize data from different sources and design software applications. This course may be useful for those who wish to learn more about the CIM and how it can be used to design software applications.
Cloud Engineer
Cloud Engineer
Cloud Engineers design and implement cloud-based solutions. They typically have a background in Computer Science or a related field. Knowledge of the CIM is also beneficial for Cloud Engineers, as it helps them to normalize data from different sources and design cloud-based solutions. This course may be useful for those who wish to learn more about the CIM and how it can be used to design cloud-based solutions.
For more career information including salaries, visit:
OpenCourser.com/course/bcfqvx/splunk
Reading list
We've selected two books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Splunk 9: Employing the Splunk Common Information Model (CIM).
Save
Is the official user guide for Splunk. It provides a comprehensive overview of Splunk, including its architecture, components, and features. It good choice for anyone who wants to learn more about Splunk or who is planning to implement or manage a Splunk deployment.
Save
This official guide from Splunk provides detailed instructions on how to install, configure, and manage Splunk.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/bcfqvx/splunk
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Time
39 hours
Level
Intermediate
Via
Pluralsight
Instructor
Adam Frisbee
Language
English
Good to know
Develops professional skills in data normalization and dashboard optimization using Splunk
Taught by Adam Frisbee, a recognized expert in Splunk
Explores Splunk's Common Information Model (CIM), a standard in the security and observability industry
Emphasizes data normalization, a core skill for data analytics
Strong focus on Splunk's powerful platform for data analytics
Builds a foundation in data validation and dashboard optimization
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