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Splunk 9
Employing the Splunk Common Information Model (CIM)
Adam Frisbee
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
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Activities
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Splunk 9: Employing the Splunk Common Information Model (CIM).
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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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