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Splunk, Inc.
Take the next step in your knowledge of Splunk. In this course you will learn how to use advanced search tools to get the most from your machine data.
Take the next step in your knowledge of Splunk. In this course you will learn how to use advanced search tools to get the most from your machine data.
This course is no longer available. Find something similar by browsing:
Advanced Splunk Searching
Time-Based Analysis
Statistical Processing
Value Comparison
Result Modification
Lookups and Subsearches
Correlation Analysis
Register for this course and see more details by visiting:
OpenCourser.com/course/4ebpxn/search
What's inside
Syllabus
Working with Time
Statistical Processing
Comparing Values
Result Modification
Read more
Syllabus
Working with Time
Statistical Processing
Comparing Values
Result Modification
Read more
Traffic lights
Traffic lights
Read about what's good
what should give you pause and
possible dealbreakers
Develops foundational skills by introducing advanced search tools and techniques for Splunk
Covers essential topics for maximizing machine data analysis, including statistical processing, value comparison, and result modification
Leverages industry-standard tools like lookups and subsearches to enhance search efficiency and accuracy
Provides a solid foundation for students pursuing careers in data analysis, security, or IT operations
Requires no prior knowledge of Splunk, making it accessible to beginners in the field
Taught by Splunk, Inc. instructors, who are recognized for their expertise in data analysis and Splunk
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Reviews summary
Advanced splunk search techniques
According to students, this course is a solid next step for those looking to deepen their Splunk search capabilities. Many found the hands-on labs and content on search optimization, lookups & subsearches, and statistical processing to be incredibly practical and immediately applicable. While the instructor's explanations are generally clear, a few learners noted that some sections, such as correlation analysis or multivalue fields, could benefit from more in-depth examples. The course assumes strong prior Splunk knowledge, making it ideal for intermediate to advanced users rather than beginners. Minor critiques include occasional buggy lab environments and some discussions feeling less engaging.
This course is best suited for learners with existing Splunk fundamentals.
"A solid follow-up to Search Expert 101, which I took previously."
"My main feedback would be that it assumes a very strong prerequisite knowledge of Splunk. If you haven't mastered the basics, this might be too much too soon."
"I think the only drawback is that if you're not already comfortable with Splunk fundamentals, you'll be lost. It clearly builds on prior knowledge."
Instructor provides clear explanations, aiding understanding of complex topics.
"The instructor's explanations were clear, and the hands-on labs really solidified my understanding."
"The course is well-structured and the instructor is knowledgeable."
"As an experienced Splunk user, I was looking for ways to refine my searches, and this course delivered. The section on 'Search Under the Hood' provided valuable insights..."
Provides immediately applicable Splunk search skills for real-world tasks.
"The 'Leveraging Lookups & Subsearches' section was incredibly practical and immediately applicable to my work."
"This course significantly improved my Splunk search efficiency. The content on 'Working with Time' was foundational and presented very clearly."
"I appreciated the practical approach of this course. The 'Statistical Processing' section was well-explained."
"The 'Search Optimization' techniques taught here are invaluable for large-scale data environments."
Some learners reported occasional technical glitches within the lab environments.
"I also found some of the lab environments a bit buggy, which was frustrating."
"There were a few technical glitches in the lab environment reported by other students that I also encountered, but overall it was a positive experience."
"The labs were also not very robust."
While generally good, some topics could benefit from more detailed examples.
"I felt some of the explanations were not detailed enough for an 'advanced' course. Specifically, 'Multivalue Fields' could have used more in-depth examples."
"The course claims to be 'advanced' but much of the 'Result Modification' content felt basic or poorly explained."
"I think it tries to cover too much, and some topics, like 'Search Under the Hood', don't get the depth they deserve."
"I struggled with the 'Correlation Analysis' part. It felt quite theoretical without enough practical application or walkthroughs."
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 Search Expert 102 with these
activities:
Review Splunk Core Concepts
Show steps
Conduct a review of essential Splunk concepts to refresh your memory and solidify your understanding.
Show steps
-
Reread course materials from previous Splunk courses or tutorials.
-
Attend a Splunk webinar or online workshop to cover key concepts.
-
Review Splunk documentation and whitepapers.
Create a Splunk Dashboard or Visualization
Show steps
Develop a practical deliverable by creating a Splunk dashboard or visualization to showcase your data analysis skills.
Show steps
-
Gather relevant data and determine the insights you want to convey.
-
Design and create a dashboard or visualization using Splunk's tools.
-
Test and refine your dashboard or visualization to ensure clarity and effectiveness.
-
Present your dashboard or visualization to demonstrate your understanding and proficiency.
Splunk-Based Project: Log Analysis and Visualization
Show steps
Undertake a project that involves using Splunk to analyze log data and create meaningful visualizations.
Browse courses on
Log Analysis
Show steps
-
Define the project scope and objectives.
-
Collect and prepare log data for analysis.
-
Use Splunk to explore and analyze the log data.
-
Create visualizations to present the analysis results and identify patterns or trends.
-
Document and present your project findings.
One other activity
Expand to see all activities and additional details
Show all four activities
Contribute to the Splunk Community
Show steps
Engage with the wider Splunk community to expand your knowledge and contribute to the ecosystem.
Browse courses on
Open Source
Show steps
-
Join online forums and discussion groups related to Splunk.
-
Contribute to Splunk documentation or knowledge bases.
-
Participate in open-source projects related to Splunk.
Review Splunk Core Concepts
Show steps
Conduct a review of essential Splunk concepts to refresh your memory and solidify your understanding.
Show steps
Show steps
Show steps
- Reread course materials from previous Splunk courses or tutorials.
- Attend a Splunk webinar or online workshop to cover key concepts.
- Review Splunk documentation and whitepapers.
Create a Splunk Dashboard or Visualization
Show steps
Develop a practical deliverable by creating a Splunk dashboard or visualization to showcase your data analysis skills.
Show steps
Show steps
Show steps
- Gather relevant data and determine the insights you want to convey.
- Design and create a dashboard or visualization using Splunk's tools.
- Test and refine your dashboard or visualization to ensure clarity and effectiveness.
- Present your dashboard or visualization to demonstrate your understanding and proficiency.
Splunk-Based Project: Log Analysis and Visualization
Show steps
Undertake a project that involves using Splunk to analyze log data and create meaningful visualizations.
Browse courses on
Log Analysis
Show steps
Show steps
Show steps
- Define the project scope and objectives.
- Collect and prepare log data for analysis.
- Use Splunk to explore and analyze the log data.
- Create visualizations to present the analysis results and identify patterns or trends.
- Document and present your project findings.
One other activity
Expand to see all activities and additional details
Show all four activities
Contribute to the Splunk Community
Show steps
Engage with the wider Splunk community to expand your knowledge and contribute to the ecosystem.
Browse courses on
Open Source
Show steps
Show steps
Show steps
- Join online forums and discussion groups related to Splunk.
- Contribute to Splunk documentation or knowledge bases.
- Participate in open-source projects related to Splunk.
Career center
Learners who complete Search Expert 102 will develop knowledge and skills
that may be useful to these careers:
Information Security Analyst
Information Security Analyst
Information Security Analysts protect information systems from unauthorized access, use, disclosure, disruption, modification, or destruction. By taking Search Expert 102, they can strengthen their ability to search and analyze security-related data, enhancing their skills in threat detection and prevention.
Security Analyst
Security Analyst
Security Analysts monitor and analyze security data to detect and respond to threats. Search Expert 102 can help Security Analysts improve their ability to search and investigate security logs, enhancing their threat detection and incident response capabilities.
Data Architect
Data Architect
Data Architects design and implement data solutions to meet business needs. Taking Search Expert 102 can aid Data Architects in enhancing their ability to search and analyze large volumes of data, enabling them to design optimal data architectures.
Data Scientist
Data Scientist
Data Scientists use data analysis and machine learning to solve business problems. Search Expert 102 can help Data Scientists enhance their data exploration and manipulation skills, enabling them to extract valuable insights from complex data.
Data Management Analyst
Data Management Analyst
Data Management Analysts plan, implement, and maintain data management strategies. Search Expert 102 can help Data Management Analysts enhance their ability to search and analyze large volumes of data, enabling them to design and implement effective data management solutions.
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to extract meaningful insights. The advanced search tools learned in Search Expert 102 can help Data Analysts improve their ability to explore and analyze large datasets with greater proficiency.
Forensic Analyst
Forensic Analyst
Forensic Analysts collect, preserve, and analyze evidence in computer systems. Search Expert 102 can be useful for Forensic Analysts, as it can help them develop advanced search skills for searching and extracting data from digital devices.
Database Administrator
Database Administrator
Database Administrators manage and maintain databases. Search Expert 102 may be helpful for Database Administrators, as it can help them develop advanced search skills for troubleshooting database issues and optimizing database performance.
Data Integration Specialist
Data Integration Specialist
Data Integration Specialists develop and maintain data integration solutions. Search Expert 102 may be helpful for Data Integration Specialists, as it can help them develop advanced search skills for integrating data from multiple sources.
Network Engineer
Network Engineer
Network Engineers design, build, and maintain computer networks. Search Expert 102 can be beneficial for Network Engineers, as it can help them develop advanced search skills for troubleshooting network issues and monitoring network performance.
Systems Analyst
Systems Analyst
Systems Analysts analyze and design business systems. Through Search Expert 102, Systems Analysts can refine their data analysis skills and gain proficiency in extracting meaningful insights from complex data sources.
Quality Assurance Analyst
Quality Assurance Analyst
Quality Assurance Analysts test and validate software to ensure it meets quality standards. Search Expert 102 may be useful for Quality Assurance Analysts, as it can help them develop advanced search skills for testing and analyzing software behavior.
Data Engineer
Data Engineer
Data Engineers design, build, and maintain large-scale data management systems. Search Expert 102 can help Data Engineers develop advanced data search skills to streamline data processing and improve data accessibility for analysis.
Business Analyst
Business Analyst
Business Analysts use data to help businesses improve their operations. Search Expert 102 can help Business Analysts refine their data analysis skills and gain proficiency in extracting meaningful insights from complex data sources.
Software Engineer
Software Engineer
Software Engineers use tools to design, build, and maintain software systems. As a Software Engineer, you would learn how to use advanced search tools with Splunk through Search Expert 102, which can help you improve your analysis capabilities of machine data.
For more career information including salaries, visit:
OpenCourser.com/course/4ebpxn/search
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
Search Expert 102.
Save
This manual provides a comprehensive reference for all search commands and functions available in Splunk. It is an essential resource for anyone who wants to master Splunk searching.
Save
Provides a comprehensive overview of data mining techniques. It valuable resource for anyone who wants to learn more about how to extract knowledge from data.
Provides a comprehensive overview of machine learning for data science. It valuable resource for anyone who wants to learn more about how to use machine learning to solve real-world problems.
Save
Provides a comprehensive overview of deep learning. It valuable resource for anyone who wants to learn more about how to use deep learning to solve real-world problems.
Provides a practical guide to machine learning using Python. It valuable resource for anyone who wants to learn how to use machine learning to solve real-world problems.
Provides a comprehensive overview of machine learning using R. It valuable resource for anyone who wants to learn how to use machine learning to solve real-world problems using R.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/4ebpxn/search
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