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Splunk Instructor
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.
Register for this course and see more details by visiting:
OpenCourser.com/course/vqtaew/splunk
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What's inside
Syllabus
Creating Field Extractions
This module is for knowledge managers who want to learn about field extraction and the Field Extractor (FX) utility. Topics will cover when certain fields are extracted and how to use the FX to create regex and delimited field extractions.
Read more
Syllabus
Creating Field Extractions
This module is for knowledge managers who want to learn about field extraction and the Field Extractor (FX) utility. Topics will cover when certain fields are extracted and how to use the FX to create regex and delimited field extractions.
Read more
Enriching Data with Lookups
This module is for knowledge managers who want to use lookups to enrich their search environment. Topics will introduce lookup types and cover how to upload and define lookups, create automatic lookups, and use advanced lookup options. Additionally, students will learn how to verify lookup contents in search and review.
Data Models
This module is for knowledge managers who want to learn how to create and accelerate data models. Topics will cover datasets, designing data models, using the Pivot editor, and accelerating data models.
Search Optimization
This module is for users who want to improve search performance. Topics will cover how search modes affect performance, how to create an efficient basic search, how to accelerate reports and data models, and how to use the tstats command to quickly query data.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Focuses on imparting knowledge of field extraction, lookups, data models, and search optimization
Instructors are provided by Splunk, indicating potential credibility and industry relevance
Provides practical knowledge on creating field extractions using regular expressions and delimiters
Introduces different lookup types and their application in enriching search environments
Covers data modeling concepts, dataset creation, and the use of the Pivot editor for data visualization
Emphasizes search optimization techniques to improve search performance
Save this course
Save Splunk Knowledge Manager 102 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 Knowledge Manager 102 with these
activities:
Mentor a peer in understanding field extraction
Show steps
Enhance your understanding of field extraction by mentoring a peer.
Browse courses on
Collaboration
Show steps
-
Identify a peer who would benefit from your guidance.
-
Share your knowledge and experience in field extraction with them.
-
Provide feedback and support as they work through field extraction concepts.
Review regex field extractions
Show steps
Review regex field extractions to solidify understanding before starting the course.
Browse courses on
Regex
Show steps
-
Review the course syllabus to identify regex field extraction concepts.
-
Study the documentation and tutorials on regex field extractions for Splunk.
-
Practice creating regex field extractions in a test environment.
Review Regex regular expressions
Show steps
Warming up with regular expressions will help you quickly master regex field extractions in this course.
Browse courses on
Regular Expressions
Show steps
-
Reference materials on operators and syntax.
-
Test your understanding by writing a few basic expressions.
Eight other activities
Expand to see all activities and additional details
Show all 11 activities
Delimitated field extractions exercise
Show steps
Practice delimitated field extractions through exercises.
Browse courses on
Data Extraction
Show steps
-
Review the documentation on delimitated field extractions in Splunk.
-
Set up a test environment and practice extracting delimited fields from sample data.
-
Troubleshoot any issues encountered during the exercise.
Create custom field extractions with the Field Extractor Tool
Show steps
Following guided tutorials on the Field Extractor Tool will give you the confidence you need to enrich your search environment.
Show steps
-
Find a tutorial on using the Field Extractor Tool.
-
Step through the tutorial and create a custom field extraction.
-
Test your field extraction by searching for the extracted field.
Learn about lookup types and their application
Show steps
Gain a deeper understanding of lookup types and their application in data enrichment.
Browse courses on
Data Enrichment
Show steps
-
Follow online tutorials on lookup types and their use cases.
-
Explore the Splunk documentation for more in-depth information.
-
Implement different types of lookups in your own Splunk environment to gain hands-on experience.
Create a visualization using search results
Show steps
Apply search optimization techniques to improve search performance and create a visualization with the results.
Browse courses on
Search Optimization
Show steps
-
Review the course materials on search optimization techniques.
-
Create a search query and optimize it for performance.
-
Export the search results to a data visualization tool like Tableau.
-
Create a visualization that effectively communicates the insights from the search results.
Accelerate reports and data models using search modes and tstats
Show steps
Practicing with search modes and tstats will help you quickly resolve performance issues and accelerate reports and data models.
Show steps
-
Find a dataset to practice on.
-
Experiment with different search modes and tstats commands.
-
Compare the performance of your searches.
Design a data model using the Pivot editor
Show steps
Reinforce data modeling skills by designing and creating a data model using the Pivot editor.
Browse courses on
Data Modeling
Show steps
-
Review the documentation on data modeling in Splunk.
-
Design a data model based on a specific use case or business requirement.
-
Use the Pivot editor to create the data model in your Splunk environment.
-
Test the data model and make any necessary adjustments.
Design a data model for a specific use case
Show steps
Creating a data model for a specific use case will help you understand how to use datasets and the Pivot editor in Splunk.
Browse courses on
Data Modeling
Show steps
-
Identify a specific use case for a data model.
-
Design the data model using datasets and fields.
-
Create the data model in Splunk.
-
Test the data model by searching for data.
Contribute to an open-source Splunk project
Show steps
Gain hands-on experience and contribute to the Splunk community.
Browse courses on
Community Involvement
Show steps
-
Identify an open-source Splunk project that aligns with your interests.
-
Review the project's documentation and contribute to discussions.
-
Submit bug reports, feature requests, or code contributions.
Mentor a peer in understanding field extraction
Show steps
Enhance your understanding of field extraction by mentoring a peer.
Browse courses on
Collaboration
Show steps
Show steps
Show steps
- Identify a peer who would benefit from your guidance.
- Share your knowledge and experience in field extraction with them.
- Provide feedback and support as they work through field extraction concepts.
Review regex field extractions
Show steps
Review regex field extractions to solidify understanding before starting the course.
Browse courses on
Regex
Show steps
Show steps
Show steps
- Review the course syllabus to identify regex field extraction concepts.
- Study the documentation and tutorials on regex field extractions for Splunk.
- Practice creating regex field extractions in a test environment.
Review Regex regular expressions
Show steps
Warming up with regular expressions will help you quickly master regex field extractions in this course.
Browse courses on
Regular Expressions
Show steps
Show steps
Show steps
- Reference materials on operators and syntax.
- Test your understanding by writing a few basic expressions.
Eight other activities
Expand to see all activities and additional details
Show all 11 activities
Delimitated field extractions exercise
Show steps
Practice delimitated field extractions through exercises.
Browse courses on
Data Extraction
Show steps
Show steps
Show steps
- Review the documentation on delimitated field extractions in Splunk.
- Set up a test environment and practice extracting delimited fields from sample data.
- Troubleshoot any issues encountered during the exercise.
Create custom field extractions with the Field Extractor Tool
Show steps
Following guided tutorials on the Field Extractor Tool will give you the confidence you need to enrich your search environment.
Show steps
Show steps
Show steps
- Find a tutorial on using the Field Extractor Tool.
- Step through the tutorial and create a custom field extraction.
- Test your field extraction by searching for the extracted field.
Learn about lookup types and their application
Show steps
Gain a deeper understanding of lookup types and their application in data enrichment.
Browse courses on
Data Enrichment
Show steps
Show steps
Show steps
- Follow online tutorials on lookup types and their use cases.
- Explore the Splunk documentation for more in-depth information.
- Implement different types of lookups in your own Splunk environment to gain hands-on experience.
Create a visualization using search results
Show steps
Apply search optimization techniques to improve search performance and create a visualization with the results.
Browse courses on
Search Optimization
Show steps
Show steps
Show steps
- Review the course materials on search optimization techniques.
- Create a search query and optimize it for performance.
- Export the search results to a data visualization tool like Tableau.
- Create a visualization that effectively communicates the insights from the search results.
Accelerate reports and data models using search modes and tstats
Show steps
Practicing with search modes and tstats will help you quickly resolve performance issues and accelerate reports and data models.
Show steps
Show steps
Show steps
- Find a dataset to practice on.
- Experiment with different search modes and tstats commands.
- Compare the performance of your searches.
Design a data model using the Pivot editor
Show steps
Reinforce data modeling skills by designing and creating a data model using the Pivot editor.
Browse courses on
Data Modeling
Show steps
Show steps
Show steps
- Review the documentation on data modeling in Splunk.
- Design a data model based on a specific use case or business requirement.
- Use the Pivot editor to create the data model in your Splunk environment.
- Test the data model and make any necessary adjustments.
Design a data model for a specific use case
Show steps
Creating a data model for a specific use case will help you understand how to use datasets and the Pivot editor in Splunk.
Browse courses on
Data Modeling
Show steps
Show steps
Show steps
- Identify a specific use case for a data model.
- Design the data model using datasets and fields.
- Create the data model in Splunk.
- Test the data model by searching for data.
Contribute to an open-source Splunk project
Show steps
Gain hands-on experience and contribute to the Splunk community.
Browse courses on
Community Involvement
Show steps
Show steps
Show steps
- Identify an open-source Splunk project that aligns with your interests.
- Review the project's documentation and contribute to discussions.
- Submit bug reports, feature requests, or code contributions.
Career center
Learners who complete Splunk Knowledge Manager 102 will develop knowledge and skills
that may be useful to these careers:
Knowledge Manager
Knowledge Manager
Knowledge Managers create and manage systems for capturing, organizing, and sharing knowledge within an organization. This course is highly relevant to Knowledge Managers as it provides comprehensive training in data extraction, manipulation, and enrichment techniques. Furthermore, the course's focus on data modeling and optimization can significantly enhance a Knowledge Manager's ability to effectively manage knowledge assets.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design and build machine learning models. This course may be useful for aspiring Machine Learning Engineers as it helps build a foundation in data extraction and manipulation, which are essential skills for the role. Additionally, the course's focus on data modeling and optimization can provide a competitive advantage in the field.
Software Engineer
Software Engineer
Software Engineers design, build, and maintain software systems. This course may be useful for Software Engineers, as it can help build a foundation in data extraction and manipulation, which are essential skills for developing robust and reliable software. Additionally, the course's focus on data modeling and optimization can provide a competitive advantage in the field.
Data Analyst
Data Analyst
Data Analysts examine and interpret data with the purpose of drawing conclusions and informing decision-making. This course may be useful, as it can help build a foundation in data extraction and manipulation, which are essential skills for Data Analysts. Furthermore, the course's emphasis on data modeling and optimization can provide a competitive edge in the field.
Database Administrator
Database Administrator
Database Administrators ensure the efficient operation of databases. This course may be useful for aspiring Database Administrators as it helps build a foundation in data extraction and manipulation, which are essential skills for the role. Furthermore, the course's emphasis on data modeling and optimization can provide a competitive edge in the field.
Web Developer
Web Developer
Web Developers design and develop websites. This course may be useful for Web Developers, as it can help build a foundation in data extraction and manipulation, which are essential skills for understanding and managing website data. Additionally, the course's focus on data modeling and optimization can provide a competitive advantage in the field.
Information Security Analyst
Information Security Analyst
Information Security Analysts protect computer systems and networks from unauthorized access and attacks. This course may be useful for Information Security Analysts, as it can help build a foundation in data extraction and manipulation, which are essential skills for the role. Additionally, the course's focus on data modeling and optimization can provide a competitive advantage in the field.
Product Manager
Product Manager
Product Managers oversee the development and launch of products. This course may be useful for Product Managers, as it can help build a foundation in data extraction and manipulation, which are essential skills for understanding customer needs and developing successful products. Additionally, the course's focus on data modeling and optimization can provide a competitive advantage in the field.
Data Engineer
Data Engineer
Data Engineers design, build, and maintain the systems that store and process data. This course may be useful for aspiring Data Engineers as it helps build a foundation in data extraction and manipulation, which are essential skills for the role. Moreover, the course's focus on data modeling and optimization can provide a competitive edge in the field.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use mathematical and statistical models to analyze financial data. This course may be useful for aspiring Quantitative Analysts as it helps build a foundation in data extraction and manipulation, which are essential skills for the role. Furthermore, the course's focus on data modeling and optimization can provide a competitive edge in the field.
Technical Writer
Technical Writer
Technical Writers create documentation for technical products and services. This course may be useful for Technical Writers, as it can help build a foundation in data extraction and manipulation, which are essential skills for understanding and explaining complex technical information. Additionally, the course's focus on data modeling and optimization can provide a competitive advantage in the field.
Systems Analyst
Systems Analyst
Systems Analysts design and implement computer systems. This course may be useful for Systems Analysts, as it can help build a foundation in data extraction and manipulation, which are essential skills for understanding and improving business processes. Additionally, the course's focus on data modeling and optimization can provide a competitive advantage in the field.
Security Analyst
Security Analyst
Security Analysts monitor and investigate security threats. This course may be useful for Security Analysts, as it can help build a foundation in data extraction and manipulation, which are essential skills for detecting and responding to security incidents. Additionally, the course's focus on data modeling and optimization can provide a competitive advantage in the field.
Data Scientist
Data Scientist
Data Scientists use data to build models and solve business problems. This course may be useful for Data Scientists, as it can help build a foundation in data extraction and manipulation, which are crucial skills for the role. Additionally, the course's focus on data modeling and optimization can provide a competitive advantage in the field.
Research Analyst
Research Analyst
Research Analysts conduct research and provide insights on various industries and markets. This course may be useful for Research Analysts, as it can help build a foundation in data extraction and manipulation, which are essential skills for gathering and analyzing data. Additionally, the course's focus on data modeling and optimization can provide a competitive advantage in the field.
For more career information including salaries, visit:
OpenCourser.com/course/vqtaew/splunk
Reading list
We've selected six 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 Knowledge Manager 102.
Save
Provides the official documentation for Splunk, covering all aspects of the software, from installation and configuration to search syntax and data analysis.
Save
This comprehensive reference manual provides detailed information on the Splunk search language, including syntax, commands, and functions, enabling you to master searching and analyzing your data effectively.
This comprehensive book provides a solid foundation in data architecture principles and best practices, covering data modeling, storage, processing, and analysis techniques, beneficial for understanding the broader context of data management and analytics.
This practical guide provides a comprehensive introduction to machine learning with Python, covering various algorithms, techniques, and real-world applications, beneficial for those interested in using machine learning with Splunk.
This comprehensive book provides a solid foundation in data analysis with Python, covering data manipulation, exploration, visualization, and machine learning techniques, beneficial for those interested in using Python for data analysis in Splunk.
Save
This thought-provoking book discusses the ethical and societal implications of data science, exploring biases, fairness, and the responsible use of data, providing a broader perspective on the role of data in our society.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/vqtaew/splunk
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Level
Introductory
Via
Coursera
Institution
Splunk Inc.
Instructor
Splunk Instructor
Language
English
This course belongs to a
collection
called
Splunk Knowledge Manager. It's comprised of three courses:
- Splunk Knowledge Manager 101
- Splunk Knowledge Manager 103
- Splunk Knowledge Manager 102 (viewing)
Good to know
Focuses on imparting knowledge of field extraction, lookups, data models, and search optimization
Instructors are provided by Splunk, indicating potential credibility and industry relevance
Provides practical knowledge on creating field extractions using regular expressions and delimiters
Introduces different lookup types and their application in enriching search environments
Covers data modeling concepts, dataset creation, and the use of the Pivot editor for data visualization
Emphasizes search optimization techniques to improve search performance
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